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export results for "federate venue:ICML:"
@inproceedings{DBLP:conf/icml/00010ZLK24, author = {Yang Zhou and Zijie Zhang and Zeru Zhang and Lingjuan Lyu and Wei{-}Shinn Ku}, title = {Effective Federated Graph Matching}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=rSfzchjIYu}, timestamp = {Mon, 02 Sep 2024 16:45:29 +0200}, biburl = {https://dblp.org/rec/conf/icml/00010ZLK24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/0001QKF024, author = {Haibo Yang and Peiwen Qiu and Prashant Khanduri and Minghong Fang and Jia Liu}, title = {Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=zwUEk9WpsR}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/0001QKF024.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/00020024, author = {Mengmeng Ma and Tang Li and Xi Peng}, title = {Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=2zLt2Odckx}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/00020024.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/00020Y0XLD0R24, author = {Jingwei Sun and Ziyue Xu and Hongxu Yin and Dong Yang and Daguang Xu and Yudong Liu and Zhixu Du and Yiran Chen and Holger R. Roth}, title = {FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=AoYhtJ4A90}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/00020Y0XLD0R24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/0002ZLYHM24, author = {Jiaqi Wang and Chenxu Zhao and Lingjuan Lyu and Quanzeng You and Mengdi Huai and Fenglong Ma}, title = {Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=p0MGN0LSnx}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/0002ZLYHM24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/00040CJ24, author = {Jiayi Wang and Shiqiang Wang and Rong{-}Rong Chen and Mingyue Ji}, title = {A New Theoretical Perspective on Data Heterogeneity in Federated Optimization}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=re6es2atbl}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/00040CJ24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/0004QX24, author = {Zixin Zhang and Fan Qi and Changsheng Xu}, title = {Enhancing Storage and Computational Efficiency in Federated Multimodal Learning for Large-Scale Models}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=QgvBcOsF4B}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/0004QX24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/0016HZM024, author = {Han Wang and Sihong He and Zhili Zhang and Fei Miao and James Anderson}, title = {Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=g43yUNWX4V}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/0016HZM024.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/AllouahFGGPRV24, author = {Youssef Allouah and Sadegh Farhadkhani and Rachid Guerraoui and Nirupam Gupta and Rafael Pinot and Geovani Rizk and Sasha Voitovych}, title = {Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=Izv7gBnap3}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/AllouahFGGPRV24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/BaoCL24, author = {Yajie Bao and Michael Crawshaw and Mingrui Liu}, title = {Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: {A} Feature Learning Perspective}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=yHRxnhKyEJ}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/BaoCL24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Ben-BasatVPEBM24, author = {Ran Ben{-}Basat and Shay Vargaftik and Amit Portnoy and Gil Einziger and Yaniv Ben{-}Itzhak and Michael Mitzenmacher}, title = {Accelerating Federated Learning with Quick Distributed Mean Estimation}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=gWEwIlZrbQ}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/Ben-BasatVPEBM24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ChaudhuryMY0MP24, author = {Bhaskar Ray Chaudhury and Aniket Murhekar and Zhuowen Yuan and Bo Li and Ruta Mehta and Ariel D. Procaccia}, title = {Fair Federated Learning via the Proportional Veto Core}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=6Zgjrowepn}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ChaudhuryMY0MP24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ChenQX24, author = {Dong Chen and Hongyuan Qu and Guangwu Xu}, title = {AegisFL: Efficient and Flexible Privacy-Preserving Byzantine-Robust Cross-silo Federated Learning}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=PHUAG63Efe}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ChenQX24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ChenV24, author = {Huancheng Chen and Haris Vikalo}, title = {Recovering Labels from Local Updates in Federated Learning}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=E41gvBG4s6}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ChenV24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ChenZ24, author = {Jiayi Chen and Aidong Zhang}, title = {FedMBridge: Bridgeable Multimodal Federated Learning}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=jrHUbftLd6}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ChenZ24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/CuiLW024, author = {Tianyu Cui and Hongxia Li and Jingya Wang and Ye Shi}, title = {Harmonizing Generalization and Personalization in Federated Prompt Learning}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=YYwERRXsJW}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/CuiLW024.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/FanHY00SW24, author = {Ziqing Fan and Shengchao Hu and Jiangchao Yao and Gang Niu and Ya Zhang and Masashi Sugiyama and Yanfeng Wang}, title = {Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=6axTFAlzRV}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/FanHY00SW24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/FaniCCC24, author = {Eros Fan{\`{\i}} and Raffaello Camoriano and Barbara Caputo and Marco Ciccone}, title = {Accelerating Heterogeneous Federated Learning with Closed-form Classifiers}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=cMige5MK1N}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/FaniCCC24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/FouratiAA24, author = {Fares Fourati and Mohamed{-}Slim Alouini and Vaneet Aggarwal}, title = {Federated Combinatorial Multi-Agent Multi-Armed Bandits}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=lrFwPeDdEQ}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/FouratiAA24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Gao24, author = {Hongchang Gao}, title = {A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=GentO2E4ID}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/Gao24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/GaoLZ024, author = {Changyu Gao and Andrew Lowy and Xingyu Zhou and Stephen J. Wright}, title = {Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=sSAEhcdB9N}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/GaoLZ024.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/GuoTL24, author = {Yongxin Guo and Xiaoying Tang and Tao Lin}, title = {FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=kc4dZYJlJG}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/GuoTL24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/HahnKL24, author = {Seok{-}Ju Hahn and Gi{-}Soo Kim and Junghye Lee}, title = {Pursuing Overall Welfare in Federated Learning through Sequential Decision Making}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=foPMkomvk1}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/HahnKL24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/HouSZCLSFL24, author = {Charlie Hou and Akshat Shrivastava and Hongyuan Zhan and Rylan Conway and Trang Le and Adithya Sagar and Giulia Fanti and Daniel Lazar}, title = {PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=3WCvnkHnxV}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/HouSZCLSFL24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/HuangSYL024, author = {Wenke Huang and Zekun Shi and Mang Ye and He Li and Bo Du}, title = {Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=k2axqNsVVO}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/HuangSYL024.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/HuangSZL24, author = {Chun{-}Yin Huang and Kartik Srinivas and Xin Zhang and Xiaoxiao Li}, title = {Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=mNzkumTSVL}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/HuangSZL24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/JiangRS24, author = {Xiaowen Jiang and Anton Rodomanov and Sebastian U. Stich}, title = {Federated Optimization with Doubly Regularized Drift Correction}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=JD03zxWZzs}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/JiangRS24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/JingYZZ24, author = {Shusen Jing and Anlan Yu and Shuai Zhang and Songyang Zhang}, title = {FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=0nMzOmkBHC}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/JingYZZ24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/KangL0X024, author = {Mintong Kang and Zhen Lin and Jimeng Sun and Cao Xiao and Bo Li}, title = {Certifiably Byzantine-Robust Federated Conformal Prediction}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=4axAQHwBOE}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/KangL0X024.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/KimHSM24, author = {Do{-}Yeon Kim and Dong{-}Jun Han and Jun Seo and Jaekyun Moon}, title = {Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=vQmVmMN5ft}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/KimHSM24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/KimKV24, author = {Heasung Kim and Hyeji Kim and Gustavo de Veciana}, title = {Clustered Federated Learning via Gradient-based Partitioning}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=J4HJUF70qm}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/KimKV24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/LeeFH0LDHHL24, author = {Royson Lee and Javier Fern{\'{a}}ndez{-}Marqu{\'{e}}s and Shell Xu Hu and Da Li and Stefanos Laskaridis and Lukasz Dudziak and Timothy M. Hospedales and Ferenc Husz{\'{a}}r and Nicholas Donald Lane}, title = {Recurrent Early Exits for Federated Learning with Heterogeneous Clients}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=w4B42sxNq3}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/LeeFH0LDHHL24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/LeeY24, author = {Taehwan Lee and Sung Whan Yoon}, title = {Rethinking the Flat Minima Searching in Federated Learning}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=6TM62kpI5c}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/LeeY24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/LiXW0QXL0H024, author = {Shiwei Li and Wenchao Xu and Haozhao Wang and Xing Tang and Yining Qi and Shijie Xu and Weihong Luo and Yuhua Li and xiuqiang He and Ruixuan Li}, title = {FedBAT: Communication-Efficient Federated Learning via Learnable Binarization}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=x2zxPwCkAZ}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/LiXW0QXL0H024.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Liu0024, author = {Renpu Liu and Cong Shen and Jing Yang}, title = {Federated Representation Learning in the Under-Parameterized Regime}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=LIQYhV45D4}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/Liu0024.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/LiuZ0HGS24, author = {Jiahao Liu and Yipeng Zhou and Di Wu and Miao Hu and Mohsen Guizani and Quan Z. Sheng}, title = {FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=akyElNlUVA}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/LiuZ0HGS24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/MalekmohammadiY24, author = {Saber Malekmohammadi and Yaoliang Yu and Yang Cao}, title = {Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=wuQ2DRPAuy}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/MalekmohammadiY24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/OkoAWMS24, author = {Kazusato Oko and Shunta Akiyama and Denny Wu and Tomoya Murata and Taiji Suzuki}, title = {{SILVER:} Single-loop variance reduction and application to federated learning}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=pOgMluzEIH}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/OkoAWMS24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ParkL24, author = {Chanho Park and Namyoon Lee}, title = {SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=zEqeNEuiJr}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ParkL24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Peng0TL24, author = {Hongyi Peng and Han Yu and Xiaoli Tang and Xiaoxiao Li}, title = {FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=XecUTmB9yD}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/Peng0TL24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/PiaoW0024, author = {Hongming Piao and Yichen Wu and Dapeng Wu and Ying Wei}, title = {Federated Continual Learning via Prompt-based Dual Knowledge Transfer}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=Kqa5JakTjB}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/PiaoW0024.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/QinCQDLD24, author = {Zhen Qin and Daoyuan Chen and Bingchen Qian and Bolin Ding and Yaliang Li and Shuiguang Deng}, title = {Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=cit0hg4sEz}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/QinCQDLD24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Rafiey24, author = {Akbar Rafiey}, title = {Decomposable Submodular Maximization in Federated Setting}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=SAbZExIIgG}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/Rafiey24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ReshefL24, author = {Roie Reshef and Kfir Yehuda Levy}, title = {Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=sTVSyqD6XX}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ReshefL24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ScottC24, author = {Jonathan Scott and {\'{A}}ine Cahill}, title = {Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=01M0N8VgfB}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ScottC24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/SefidgaranCZW24, author = {Milad Sefidgaran and Romain Chor and Abdellatif Zaidi and Yijun Wan}, title = {Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often!}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=ffS0aYP6mk}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/SefidgaranCZW24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/SinghV24, author = {Ankit Pratap Singh and Namrata Vaswani}, title = {Byzantine Resilient and Fast Federated Few-Shot Learning}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=q5q59s2WJy}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/SinghV24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Tang0G0Y24, author = {Xueyang Tang and Song Guo and Jingcai Guo and Jie Zhang and Yue Yu}, title = {Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=Kbd9A4lVoX}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/Tang0G0Y24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/TianSQLX24, author = {Chunlin Tian and Zhan Shi and Xinpeng Qin and Li Li and Chengzhong Xu}, title = {Ranking-based Client Imitation Selection for Efficient Federated Learning}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=FMEhnS0948}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/TianSQLX24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/TianW024, author = {Ye Tian and Haolei Weng and Yang Feng}, title = {Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated {EM} Algorithms}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=kVgpa1rfLO}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/TianW024.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/WangWLC24, author = {Yujia Wang and Shiqiang Wang and Songtao Lu and Jinghui Chen}, title = {{FADAS:} Towards Federated Adaptive Asynchronous Optimization}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=j56JAd29uH}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/WangWLC24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/WooSJC24, author = {Jiin Woo and Laixi Shi and Gauri Joshi and Yuejie Chi}, title = {Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=LIPGadocTe}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/WooSJC24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/XieFG24, author = {Yueqi Xie and Minghong Fang and Neil Zhenqiang Gong}, title = {FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=Wjq2bS7fTK}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/XieFG24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/XieLLLFSW24, author = {Luyuan Xie and Manqing Lin and Tianyu Luan and Cong Li and Yuejian Fang and Qingni Shen and Zhonghai Wu}, title = {MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=Jvh8HM9YEJ}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/XieLLLFSW24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/XingL024, author = {Pengwei Xing and Songtao Lu and Han Yu}, title = {Federated Neuro-Symbolic Learning}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=EQXZqBXeW9}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/XingL024.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/XuSWW24, author = {Haoqing Xu and Dian Shen and Meng Wang and Beilun Wang}, title = {Adaptive Group Personalization for Federated Mutual Transfer Learning}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=DqC9XiI71U}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/XuSWW24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/YanCWZ00SZ24, author = {Kunda Yan and Sen Cui and Abudukelimu Wuerkaixi and Jingfeng Zhang and Bo Han and Gang Niu and Masashi Sugiyama and Changshui Zhang}, title = {Balancing Similarity and Complementarity for Federated Learning}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=v6tAdeCXKH}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/YanCWZ00SZ24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Yue0G00DWY24, author = {Linan Yue and Qi Liu and Weibo Gao and Ye Liu and Kai Zhang and Yichao Du and Li Wang and Fangzhou Yao}, title = {Federated Self-Explaining GNNs with Anti-shortcut Augmentations}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=ZxDqSBgFSM}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/Yue0G00DWY24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ZhangPLSG24, author = {Xinwen Zhang and Ali Payani and Myungjin Lee and Richard Souvenir and Hongchang Gao}, title = {A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep {AUC} Maximization}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=NkN6wrYXe5}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ZhangPLSG24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ZhuangX0LL24, author = {Weiming Zhuang and Jian Xu and Chen Chen and Jingtao Li and Lingjuan Lyu}, title = {{COALA:} {A} Practical and Vision-Centric Federated Learning Platform}, booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, publisher = {OpenReview.net}, year = {2024}, url = {https://openreview.net/forum?id=ATRnM8PyQX}, timestamp = {Mon, 02 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ZhuangX0LL24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/0002YB23, author = {Junyi Zhu and Ruicong Yao and Matthew B. Blaschko}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Surrogate Model Extension {(SME):} {A} Fast and Accurate Weight Update Attack on Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {43228--43257}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/zhu23m.html}, timestamp = {Mon, 28 Aug 2023 17:23:08 +0200}, biburl = {https://dblp.org/rec/conf/icml/0002YB23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/BaekJJYH23, author = {Jinheon Baek and Wonyong Jeong and Jiongdao Jin and Jaehong Yoon and Sung Ju Hwang}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Personalized Subgraph Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {1396--1415}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/baek23a.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/BaekJJYH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/BaoWWH23, author = {Wenxuan Bao and Haohan Wang and Jun Wu and Jingrui He}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Optimizing the Collaboration Structure in Cross-Silo Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {1718--1736}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/bao23b.html}, timestamp = {Sun, 12 Nov 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/BaoWWH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/CastigliaZ0KBP23, author = {Timothy Castiglia and Yi Zhou and Shiqiang Wang and Swanand Kadhe and Nathalie Baracaldo and Stacy Patterson}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {{LESS-VFL:} Communication-Efficient Feature Selection for Vertical Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {3757--3781}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/castiglia23a.html}, timestamp = {Sun, 28 Jan 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/CastigliaZ0KBP23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/CheZZLL0DH23, author = {Tianshi Che and Yang Zhou and Zijie Zhang and Lingjuan Lyu and Ji Liu and Da Yan and Dejing Dou and Jun Huan}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Fast Federated Machine Unlearning with Nonlinear Functional Theory}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {4241--4268}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/che23b.html}, timestamp = {Thu, 04 Jan 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/CheZZLL0DH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ChenHLCX0Z23, author = {Hanxiao Chen and Meng Hao and Hongwei Li and Kangjie Chen and Guowen Xu and Tianwei Zhang and Xilin Zhang}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {GuardHFL: Privacy Guardian for Heterogeneous Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {4566--4584}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/chen23j.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ChenHLCX0Z23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ChenYGDL23, author = {Daoyuan Chen and Liuyi Yao and Dawei Gao and Bolin Ding and Yaliang Li}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Efficient Personalized Federated Learning via Sparse Model-Adaptation}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {5234--5256}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/chen23aj.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ChenYGDL23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ChoSJ0KZ23, author = {Yae Jee Cho and Pranay Sharma and Gauri Joshi and Zheng Xu and Satyen Kale and Tong Zhang}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {On the Convergence of Federated Averaging with Cyclic Client Participation}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {5677--5721}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/cho23b.html}, timestamp = {Mon, 11 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ChoSJ0KZ23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/CyffersBB23, author = {Edwige Cyffers and Aur{\'{e}}lien Bellet and Debabrota Basu}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {From Noisy Fixed-Point Iterations to Private {ADMM} for Centralized and Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {6683--6711}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/cyffers23a.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/CyffersBB23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/DaiL23, author = {Yanbo Dai and Songze Li}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {6712--6725}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/dai23a.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/DaiL23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/DorfmanVBL23, author = {Ron Dorfman and Shay Vargaftik and Yaniv Ben{-}Itzhak and Kfir Yehuda Levy}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {DoCoFL: Downlink Compression for Cross-Device Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {8356--8388}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/dorfman23a.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/DorfmanVBL23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/GasconKSS23, author = {Adri{\`{a}} Gasc{\'{o}}n and Peter Kairouz and Ziteng Sun and Ananda Theertha Suresh}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Federated Heavy Hitter Recovery under Linear Sketching}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {10997--11012}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/gascon23a.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/GasconKSS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Guo0L23, author = {Yongxin Guo and Xiaoying Tang and Tao Lin}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {12034--12054}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/guo23g.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/Guo0L23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Guo0LY23, author = {Zhishuai Guo and Rong Jin and Jiebo Luo and Tianbao Yang}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {FeDXL: Provable Federated Learning for Deep X-Risk Optimization}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {11934--11966}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/guo23c.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/Guo0LY23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/GuoCSR23, author = {Chuan Guo and Kamalika Chaudhuri and Pierre Stock and Michael G. Rabbat}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {11888--11904}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/guo23a.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/GuoCSR23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/GuoG0WC23, author = {Yaming Guo and Kai Guo and Xiaofeng Cao and Tieru Wu and Yi Chang}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {11905--11933}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/guo23b.html}, timestamp = {Sun, 04 Aug 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/GuoG0WC23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/HuangZJ23, author = {Minhui Huang and Dewei Zhang and Kaiyi Ji}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Achieving Linear Speedup in Non-IID Federated Bilevel Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {14039--14059}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/huang23p.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/HuangZJ23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/HuangZMSHY23, author = {Ruiquan Huang and Huanyu Zhang and Luca Melis and Milan Shen and Meisam Hejazinia and Jing Yang}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Federated Linear Contextual Bandits with User-level Differential Privacy}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {14060--14095}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/huang23q.html}, timestamp = {Thu, 02 Nov 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/HuangZMSHY23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/HumbertBBA23, author = {Pierre Humbert and Batiste Le Bars and Aur{\'{e}}lien Bellet and Sylvain Arlot}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {One-Shot Federated Conformal Prediction}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {14153--14177}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/humbert23a.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/HumbertBBA23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/KariyappaGM0SQL23, author = {Sanjay Kariyappa and Chuan Guo and Kiwan Maeng and Wenjie Xiong and G. Edward Suh and Moinuddin K. Qureshi and Hsien{-}Hsin S. Lee}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {15884--15899}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/kariyappa23a.html}, timestamp = {Tue, 07 May 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/KariyappaGM0SQL23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Li023, author = {Xiaoyun Li and Ping Li}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {19638--19688}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/li23o.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/Li023.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Li0Y23, author = {Xiaoxiao Li and Zhao Song and Jiaming Yang}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Federated Adversarial Learning: {A} Framework with Convergence Analysis}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {19932--19959}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/li23z.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/Li0Y23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/LiLSW23, author = {Zexi Li and Tao Lin and Xinyi Shang and Chao Wu}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Revisiting Weighted Aggregation in Federated Learning with Neural Networks}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {19767--19788}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/li23s.html}, timestamp = {Tue, 06 Aug 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/LiLSW23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/LiYL23, author = {Songze Li and Duanyi Yao and Jin Liu}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {20296--20311}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/li23an.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/LiYL23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/LuYKJR23, author = {Charles Lu and Yaodong Yu and Sai Praneeth Karimireddy and Michael I. Jordan and Ramesh Raskar}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Federated Conformal Predictors for Distributed Uncertainty Quantification}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {22942--22964}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/lu23i.html}, timestamp = {Tue, 07 Nov 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/LuYKJR23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/MaiP23, author = {Peihua Mai and Yan Pang}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Vertical Federated Graph Neural Network for Recommender System}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {23516--23535}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/mai23b.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/MaiP23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/MarchandLMTP23, author = {Tanguy Marchand and Regis Loeb and Ulysse Marteau{-}Ferey and Jean Ogier du Terrail and Arthur Pignet}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {{SRATTA:} Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {23886--23914}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/marchand23a.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/MarchandLMTP23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/PanchalCMMSMG23, author = {Kunjal Panchal and Sunav Choudhary and Subrata Mitra and Koyel Mukherjee and Somdeb Sarkhel and Saayan Mitra and Hui Guan}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Flash: Concept Drift Adaptation in Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {26931--26962}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/panchal23a.html}, timestamp = {Tue, 25 Jun 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/PanchalCMMSMG23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/PangWWZS23, author = {Qi Pang and Lun Wang and Shuai Wang and Wenting Zheng and Dawn Song}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Secure Federated Correlation Test and Entropy Estimation}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {26990--27010}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/pang23a.html}, timestamp = {Thu, 08 Aug 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/PangWWZS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ParkHH23, author = {Sejun Park and Kihun Hong and Ganguk Hwang}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Towards Understanding Ensemble Distillation in Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {27132--27187}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/park23e.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ParkHH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/PatelWSS23, author = {Kumar Kshitij Patel and Lingxiao Wang and Aadirupa Saha and Nathan Srebro}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Federated Online and Bandit Convex Optimization}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {27439--27460}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/patel23a.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/PatelWSS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/PlassierMRMP23, author = {Vincent Plassier and Mehdi Makni and Aleksandr Rubashevskii and Eric Moulines and Maxim Panov}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Conformal Prediction for Federated Uncertainty Quantification Under Label Shift}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {27907--27947}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/plassier23a.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/PlassierMRMP23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Shi0WS00T23, author = {Yifan Shi and Li Shen and Kang Wei and Yan Sun and Bo Yuan and Xueqian Wang and Dacheng Tao}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Improving the Model Consistency of Decentralized Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {31269--31291}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/shi23d.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/Shi0WS00T23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/SunSC0T23, author = {Yan Sun and Li Shen and Shixiang Chen and Liang Ding and Dacheng Tao}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {32991--33013}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/sun23h.html}, timestamp = {Fri, 10 Nov 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/SunSC0T23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/UllahCKO23, author = {Enayat Ullah and Christopher A. Choquette{-}Choo and Peter Kairouz and Sewoong Oh}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Private Federated Learning with Autotuned Compression}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {34668--34708}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/ullah23b.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/UllahCKO23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/VeroBDV23, author = {Mark Vero and Mislav Balunovic and Dimitar Iliev Dimitrov and Martin T. Vechev}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {TabLeak: Tabular Data Leakage in Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {35051--35083}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/vero23a.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/VeroBDV23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/WangK0DL23, author = {Zhen Wang and Weirui Kuang and Ce Zhang and Bolin Ding and Yaliang Li}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {FedHPO-Bench: {A} Benchmark Suite for Federated Hyperparameter Optimization}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {35908--35948}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/wang23n.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/WangK0DL23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/WooJC23, author = {Jiin Woo and Gauri Joshi and Yuejie Chi}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {37157--37216}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/woo23a.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/WooJC23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Wu0QHLG23, author = {Feijie Wu and Song Guo and Zhihao Qu and Shiqi He and Ziming Liu and Jing Gao}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Anchor Sampling for Federated Learning with Partial Client Participation}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {37379--37416}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/wu23e.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/Wu0QHLG23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/WuZYLG0CC23, author = {Yue Wu and Shuaicheng Zhang and Wenchao Yu and Yanchi Liu and Quanquan Gu and Dawei Zhou and Haifeng Chen and Wei Cheng}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Personalized Federated Learning under Mixture of Distributions}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {37860--37879}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/wu23z.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/WuZYLG0CC23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/XiaoJ23, author = {Peiyao Xiao and Kaiyi Ji}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {38059--38086}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/xiao23b.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/XiaoJ23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/YeNWCW23, author = {Rui Ye and Zhenyang Ni and Fangzhao Wu and Siheng Chen and Yanfeng Wang}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Personalized Federated Learning with Inferred Collaboration Graphs}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {39801--39817}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/ye23b.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/YeNWCW23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/YeXWXCW23, author = {Rui Ye and Mingkai Xu and Jianyu Wang and Chenxin Xu and Siheng Chen and Yanfeng Wang}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {FedDisco: Federated Learning with Discrepancy-Aware Collaboration}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {39879--39902}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/ye23f.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/YeXWXCW23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/YiV23, author = {Jialin Yi and Milan Vojnovic}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Doubly Adversarial Federated Bandits}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {39951--39967}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/yi23a.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/YiV23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Zhang0T00ZC0023, author = {Jianyi Zhang and Ang Li and Minxue Tang and Jingwei Sun and Xiang Chen and Fan Zhang and Changyou Chen and Yiran Chen and Hai Li}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Fed-CBS: {A} Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {41354--41381}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/zhang23y.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/Zhang0T00ZC0023.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ZhangLDZX23, author = {Hao Zhang and Chenglin Li and Wenrui Dai and Junni Zou and Hongkai Xiong}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {41314--41330}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/zhang23w.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ZhangLDZX23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ZhangLLWZJJ23, author = {Feilong Zhang and Xianming Liu and Shiyi Lin and Gang Wu and Xiong Zhou and Junjun Jiang and Xiangyang Ji}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {41399--41413}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/zhang23aa.html}, timestamp = {Wed, 13 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/ZhangLLWZJJ23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ZhangMG023, author = {Jie Zhang and Xiaosong Ma and Song Guo and Wenchao Xu}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Towards Unbiased Training in Federated Open-world Semi-supervised Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {41498--41509}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/zhang23af.html}, timestamp = {Sat, 20 Jul 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ZhangMG023.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ZhuRC23, author = {Chaoyi Zhu and Stefanie Roos and Lydia Y. Chen}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {LeadFL: Client Self-Defense against Model Poisoning in Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {43158--43180}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/zhu23j.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ZhuRC23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/BaoCLL22, author = {Yajie Bao and Michael Crawshaw and Shan Luo and Mingrui Liu}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Fast Composite Optimization and Statistical Recovery in Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {1508--1536}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/bao22b.html}, timestamp = {Tue, 12 Jul 2022 17:36:52 +0200}, biburl = {https://dblp.org/rec/conf/icml/BaoCLL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/BiettiWD0W22, author = {Alberto Bietti and Chen{-}Yu Wei and Miroslav Dud{\'{\i}}k and John Langford and Zhiwei Steven Wu}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {1945--1962}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/bietti22a.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/BiettiWD0W22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ChenCKS22, author = {Wei{-}Ning Chen and Christopher A. Choquette{-}Choo and Peter Kairouz and Ananda Theertha Suresh}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {3056--3089}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/chen22c.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ChenCKS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ChenOK22, author = {Wei{-}Ning Chen and Ayfer {\"{O}}zg{\"{u}}r and Peter Kairouz}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {3490--3506}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/chen22s.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ChenOK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Dai0H0T22, author = {Rong Dai and Li Shen and Fengxiang He and Xinmei Tian and Dacheng Tao}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {4587--4604}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/dai22b.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/Dai0H0T22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ElgabliIBRBA22, author = {Anis Elgabli and Chaouki Ben Issaid and Amrit Singh Bedi and Ketan Rajawat and Mehdi Bennis and Vaneet Aggarwal}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {FedNew: {A} Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {5861--5877}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/elgabli22a.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ElgabliIBRBA22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/HonigZM22, author = {Robert H{\"{o}}nig and Yiren Zhao and Robert D. Mullins}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {8852--8866}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/honig22a.html}, timestamp = {Fri, 06 Jan 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/HonigZM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/JinR0LLD22, author = {Jiayin Jin and Jiaxiang Ren and Yang Zhou and Lingjuan Lyu and Ji Liu and Dejing Dou}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Accelerated Federated Learning with Decoupled Adaptive Optimization}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {10298--10322}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/jin22e.html}, timestamp = {Thu, 17 Nov 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/JinR0LLD22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/KhodadadianSJM22, author = {Sajad Khodadadian and Pranay Sharma and Gauri Joshi and Siva Theja Maguluri}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {10997--11057}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/khodadadian22a.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/KhodadadianSJM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/KimKH22, author = {Jinkyu Kim and Geeho Kim and Bohyung Han}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Multi-Level Branched Regularization for Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {11058--11073}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/kim22a.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/KimKH22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/LaiDSLZMC22, author = {Fan Lai and Yinwei Dai and Sanjay Sri Vallabh Singapuram and Jiachen Liu and Xiangfeng Zhu and Harsha V. Madhyastha and Mosharaf Chowdhury}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {FedScale: Benchmarking Model and System Performance of Federated Learning at Scale}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {11814--11827}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/lai22a.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/LaiDSLZMC22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/LinCX0GD022, author = {Xinyang Lin and Hanting Chen and Yixing Xu and Chao Xu and Xiaolin Gui and Yiping Deng and Yunhe Wang}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Federated Learning with Positive and Unlabeled Data}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {13344--13355}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/lin22b.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/LinCX0GD022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/LiuLWXSY22, author = {Chang Liu and Chenfei Lou and Runzhong Wang and Alan Yuhan Xi and Li Shen and Junchi Yan}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {13857--13869}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/liu22k.html}, timestamp = {Mon, 22 Jul 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/LiuLWXSY22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/LubanaTKDM22, author = {Ekdeep Singh Lubana and Chi Ian Tang and Fahim Kawsar and Robert P. Dick and Akhil Mathur}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {14461--14484}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/lubana22a.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/LubanaTKDM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/LuoWWST22, author = {Zhengquan Luo and Yunlong Wang and Zilei Wang and Zhenan Sun and Tieniu Tan}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {14527--14541}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/luo22b.html}, timestamp = {Wed, 23 Nov 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/LuoWWST22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/MakhijaHHG22, author = {Disha Makhija and Xing Han and Nhat Ho and Joydeep Ghosh}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Architecture Agnostic Federated Learning for Neural Networks}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {14860--14870}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/makhija22a.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/MakhijaHHG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/MarfoqNVK22, author = {Othmane Marfoq and Giovanni Neglia and Richard Vidal and Laetitia Kameni}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Personalized Federated Learning through Local Memorization}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {15070--15092}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/marfoq22a.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/MarfoqNVK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Mishchenko0R22, author = {Konstantin Mishchenko and Ahmed Khaled and Peter Richt{\'{a}}rik}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Proximal and Federated Random Reshuffling}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {15718--15749}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/mishchenko22a.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/Mishchenko0R22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/PillutlaMMRS022, author = {Krishna Pillutla and Kshitiz Malik and Abdelrahman Mohamed and Michael G. Rabbat and Maziar Sanjabi and Lin Xiao}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Federated Learning with Partial Model Personalization}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {17716--17758}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/pillutla22a.html}, timestamp = {Thu, 18 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/PillutlaMMRS022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/QuLDLTL22, author = {Zhe Qu and Xingyu Li and Rui Duan and Yao Liu and Bo Tang and Zhuo Lu}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Generalized Federated Learning via Sharpness Aware Minimization}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {18250--18280}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/qu22a.html}, timestamp = {Mon, 22 Jul 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/QuLDLTL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/SafaryanIQR22, author = {Mher Safaryan and Rustem Islamov and Xun Qian and Peter Richt{\'{a}}rik}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {FedNL: Making Newton-Type Methods Applicable to Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {18959--19010}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/safaryan22a.html}, timestamp = {Mon, 26 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/SafaryanIQR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/SharmaPJV22, author = {Pranay Sharma and Rohan Panda and Gauri Joshi and Pramod K. Varshney}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Federated Minimax Optimization: Improved Convergence Analyses and Algorithms}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {19683--19730}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/sharma22c.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/SharmaPJV22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/TangZSHH022, author = {Zhenheng Tang and Yonggang Zhang and Shaohuai Shi and Xin He and Bo Han and Xiaowen Chu}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {21111--21132}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/tang22d.html}, timestamp = {Fri, 14 Apr 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/TangZSHH022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/TarzanaghLTO22, author = {Davoud Ataee Tarzanagh and Mingchen Li and Christos Thrampoulidis and Samet Oymak}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {FedNest: Federated Bilevel, Minimax, and Compositional Optimization}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {21146--21179}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/tarzanagh22a.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/TarzanaghLTO22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/VargaftikBPMBM22, author = {Shay Vargaftik and Ran Ben Basat and Amit Portnoy and Gal Mendelson and Yaniv Ben{-}Itzhak and Michael Mitzenmacher}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {{EDEN:} Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {21984--22014}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/vargaftik22a.html}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/VargaftikBPMBM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/WangLC22, author = {Yujia Wang and Lu Lin and Jinghui Chen}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Communication-Efficient Adaptive Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {22802--22838}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/wang22o.html}, timestamp = {Mon, 18 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/WangLC22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/WangS0F22, author = {Hui{-}Po Wang and Sebastian U. Stich and Yang He and Mario Fritz}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {23034--23054}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/wang22y.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/WangS0F22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/WenGFGG22, author = {Yuxin Wen and Jonas Geiping and Liam Fowl and Micah Goldblum and Tom Goldstein}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {23668--23684}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/wen22a.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/WenGFGG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/YangZK022, author = {Haibo Yang and Xin Zhang and Prashant Khanduri and Jia Liu}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Anarchic Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {25331--25363}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/yang22r.html}, timestamp = {Thu, 07 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/YangZK022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Yi0022, author = {Liping Yi and Gang Wang and Xiaoguang Liu}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {{QSFL:} {A} Two-Level Uplink Communication Optimization Framework for Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {25501--25513}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/yi22a.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/Yi0022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/YoonPJH22, author = {Jaehong Yoon and Geon Park and Wonyong Jeong and Sung Ju Hwang}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {25552--25565}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/yoon22a.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/YoonPJH22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/YueJPWBD22, author = {Kai Yue and Richeng Jin and Ryan Pilgrim and Chau{-}Wai Wong and Dror Baron and Huaiyu Dai}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Neural Tangent Kernel Empowered Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {25783--25803}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/yue22a.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/YueJPWBD22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ZhangCH0Y22, author = {Xinwei Zhang and Xiangyi Chen and Mingyi Hong and Steven Wu and Jinfeng Yi}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {26048--26067}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/zhang22b.html}, timestamp = {Mon, 26 Aug 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ZhangCH0Y22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ZhangLLGS22, author = {Xu Zhang and Yinchuan Li and Wenpeng Li and Kaiyang Guo and Yunfeng Shao}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Personalized Federated Learning via Variational Bayesian Inference}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {26293--26310}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/zhang22o.html}, timestamp = {Fri, 19 Jul 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ZhangLLGS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ZhangLLX0DW22, author = {Jie Zhang and Zhiqi Li and Bo Li and Jianghe Xu and Shuang Wu and Shouhong Ding and Chao Wu}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Federated Learning with Label Distribution Skew via Logits Calibration}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {26311--26329}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/zhang22p.html}, timestamp = {Wed, 05 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ZhangLLX0DW22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ZhangPSYMMR022, author = {Zhengming Zhang and Ashwinee Panda and Linyue Song and Yaoqing Yang and Michael W. Mahoney and Prateek Mittal and Kannan Ramchandran and Joseph Gonzalez}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Neurotoxin: Durable Backdoors in Federated Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {26429--26446}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/zhang22w.html}, timestamp = {Tue, 12 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ZhangPSYMMR022.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ZhuHDZ22, author = {Zhuangdi Zhu and Junyuan Hong and Steve Drew and Jiayu Zhou}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Resilient and Communication Efficient Learning for Heterogeneous Federated Systems}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {27504--27526}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/zhu22e.html}, timestamp = {Sat, 13 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ZhuHDZ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/00050BS21, author = {Tian Li and Shengyuan Hu and Ahmad Beirami and Virginia Smith}, editor = {Marina Meila and Tong Zhang}, title = {Ditto: Fair and Robust Federated Learning Through Personalization}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {6357--6368}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/li21h.html}, timestamp = {Wed, 25 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/00050BS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/AcarZZNMWS21, author = {Durmus Alp Emre Acar and Yue Zhao and Ruizhao Zhu and Ramon Matas Navarro and Matthew Mattina and Paul N. Whatmough and Venkatesh Saligrama}, editor = {Marina Meila and Tong Zhang}, title = {Debiasing Model Updates for Improving Personalized Federated Training}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {21--31}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/acar21a.html}, timestamp = {Wed, 25 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/AcarZZNMWS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/AvdiukhinK21, author = {Dmitrii Avdiukhin and Shiva Prasad Kasiviswanathan}, editor = {Marina Meila and Tong Zhang}, title = {Federated Learning under Arbitrary Communication Patterns}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {425--435}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/avdiukhin21a.html}, timestamp = {Wed, 25 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/AvdiukhinK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/BlumHPS21, author = {Avrim Blum and Nika Haghtalab and Richard Lanas Phillips and Han Shao}, editor = {Marina Meila and Tong Zhang}, title = {One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {1005--1014}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/blum21a.html}, timestamp = {Wed, 25 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/BlumHPS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/CollinsHMS21, author = {Liam Collins and Hamed Hassani and Aryan Mokhtari and Sanjay Shakkottai}, editor = {Marina Meila and Tong Zhang}, title = {Exploiting Shared Representations for Personalized Federated Learning}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {2089--2099}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/collins21a.html}, timestamp = {Wed, 25 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/CollinsHMS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Dennis0S21, author = {Don Kurian Dennis and Tian Li and Virginia Smith}, editor = {Marina Meila and Tong Zhang}, title = {Heterogeneity for the Win: One-Shot Federated Clustering}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {2611--2620}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/dennis21a.html}, timestamp = {Wed, 25 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/Dennis0S21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/FraboniVKL21, author = {Yann Fraboni and Richard Vidal and Laetitia Kameni and Marco Lorenzi}, editor = {Marina Meila and Tong Zhang}, title = {Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {3407--3416}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/fraboni21a.html}, timestamp = {Wed, 25 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/FraboniVKL21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/HosseiniPYLSW21, author = {Hossein Hosseini and Hyunsin Park and Sungrack Yun and Christos Louizos and Joseph Soriaga and Max Welling}, editor = {Marina Meila and Tong Zhang}, title = {Federated Learning of User Verification Models Without Sharing Embeddings}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {4328--4336}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/hosseini21a.html}, timestamp = {Wed, 25 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/HosseiniPYLSW21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/HuangL0021, author = {Baihe Huang and Xiaoxiao Li and Zhao Song and Xin Yang}, editor = {Marina Meila and Tong Zhang}, title = {{FL-NTK:} {A} Neural Tangent Kernel-based Framework for Federated Learning Analysis}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {4423--4434}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/huang21c.html}, timestamp = {Wed, 25 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/HuangL0021.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/KairouzL021, author = {Peter Kairouz and Ziyu Liu and Thomas Steinke}, editor = {Marina Meila and Tong Zhang}, title = {The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {5201--5212}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/kairouz21a.html}, timestamp = {Tue, 12 Apr 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/KairouzL021.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/LamW0RM21, author = {Maximilian Lam and Gu{-}Yeon Wei and David Brooks and Vijay Janapa Reddi and Michael Mitzenmacher}, editor = {Marina Meila and Tong Zhang}, title = {Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {5959--5968}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/lam21b.html}, timestamp = {Wed, 25 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/LamW0RM21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/MurataS21, author = {Tomoya Murata and Taiji Suzuki}, editor = {Marina Meila and Tong Zhang}, title = {Bias-Variance Reduced Local {SGD} for Less Heterogeneous Federated Learning}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {7872--7881}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/murata21a.html}, timestamp = {Wed, 25 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/MurataS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ShamsianNFC21, author = {Aviv Shamsian and Aviv Navon and Ethan Fetaya and Gal Chechik}, editor = {Marina Meila and Tong Zhang}, title = {Personalized Federated Learning using Hypernetworks}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {9489--9502}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/shamsian21a.html}, timestamp = {Wed, 25 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ShamsianNFC21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Xie0CL21, author = {Chulin Xie and Minghao Chen and Pin{-}Yu Chen and Bo Li}, editor = {Marina Meila and Tong Zhang}, title = {{CRFL:} Certifiably Robust Federated Learning against Backdoor Attacks}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {11372--11382}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/xie21a.html}, timestamp = {Mon, 07 Mar 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/Xie0CL21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/YoonJLYH21, author = {Jaehong Yoon and Wonyong Jeong and Giwoong Lee and Eunho Yang and Sung Ju Hwang}, editor = {Marina Meila and Tong Zhang}, title = {Federated Continual Learning with Weighted Inter-client Transfer}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {12073--12086}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/yoon21b.html}, timestamp = {Wed, 25 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/YoonJLYH21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/YuanGXYY21, author = {Zhuoning Yuan and Zhishuai Guo and Yi Xu and Yiming Ying and Tianbao Yang}, editor = {Marina Meila and Tong Zhang}, title = {Federated Deep {AUC} Maximization for Hetergeneous Data with a Constant Communication Complexity}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {12219--12229}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/yuan21a.html}, timestamp = {Mon, 26 Aug 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/YuanGXYY21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/YuanZR21, author = {Honglin Yuan and Manzil Zaheer and Sashank J. Reddi}, editor = {Marina Meila and Tong Zhang}, title = {Federated Composite Optimization}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {12253--12266}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/yuan21d.html}, timestamp = {Wed, 25 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/YuanZR21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ZhuHZ21, author = {Zhuangdi Zhu and Junyuan Hong and Jiayu Zhou}, editor = {Marina Meila and Tong Zhang}, title = {Data-Free Knowledge Distillation for Heterogeneous Federated Learning}, booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {139}, pages = {12878--12889}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/zhu21b.html}, timestamp = {Wed, 25 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/ZhuHZ21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/HamerMS20, author = {Jenny Hamer and Mehryar Mohri and Ananda Theertha Suresh}, title = {FedBoost: {A} Communication-Efficient Algorithm for Federated Learning}, booktitle = {Proceedings of the 37th International Conference on Machine Learning, {ICML} 2020, 13-18 July 2020, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {119}, pages = {3973--3983}, publisher = {{PMLR}}, year = {2020}, url = {http://proceedings.mlr.press/v119/hamer20a.html}, timestamp = {Tue, 15 Dec 2020 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/HamerMS20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/KarimireddyKMRS20, author = {Sai Praneeth Karimireddy and Satyen Kale and Mehryar Mohri and Sashank J. Reddi and Sebastian U. Stich and Ananda Theertha Suresh}, title = {{SCAFFOLD:} Stochastic Controlled Averaging for Federated Learning}, booktitle = {Proceedings of the 37th International Conference on Machine Learning, {ICML} 2020, 13-18 July 2020, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {119}, pages = {5132--5143}, publisher = {{PMLR}}, year = {2020}, url = {http://proceedings.mlr.press/v119/karimireddy20a.html}, timestamp = {Tue, 15 Dec 2020 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/KarimireddyKMRS20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/LiKQR20, author = {Zhize Li and Dmitry Kovalev and Xun Qian and Peter Richt{\'{a}}rik}, title = {Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization}, booktitle = {Proceedings of the 37th International Conference on Machine Learning, {ICML} 2020, 13-18 July 2020, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {119}, pages = {5895--5904}, publisher = {{PMLR}}, year = {2020}, url = {http://proceedings.mlr.press/v119/li20g.html}, timestamp = {Tue, 15 Dec 2020 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/LiKQR20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/MalinovskiyKGCR20, author = {Grigory Malinovskiy and Dmitry Kovalev and Elnur Gasanov and Laurent Condat and Peter Richt{\'{a}}rik}, title = {From Local {SGD} to Local Fixed-Point Methods for Federated Learning}, booktitle = {Proceedings of the 37th International Conference on Machine Learning, {ICML} 2020, 13-18 July 2020, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {119}, pages = {6692--6701}, publisher = {{PMLR}}, year = {2020}, url = {http://proceedings.mlr.press/v119/malinovskiy20a.html}, timestamp = {Tue, 15 Dec 2020 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/MalinovskiyKGCR20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/RothchildPUISB020, author = {Daniel Rothchild and Ashwinee Panda and Enayat Ullah and Nikita Ivkin and Ion Stoica and Vladimir Braverman and Joseph Gonzalez and Raman Arora}, title = {FetchSGD: Communication-Efficient Federated Learning with Sketching}, booktitle = {Proceedings of the 37th International Conference on Machine Learning, {ICML} 2020, 13-18 July 2020, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {119}, pages = {8253--8265}, publisher = {{PMLR}}, year = {2020}, url = {http://proceedings.mlr.press/v119/rothchild20a.html}, timestamp = {Tue, 15 Dec 2020 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/RothchildPUISB020.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/YuRMK20, author = {Felix X. Yu and Ankit Singh Rawat and Aditya Krishna Menon and Sanjiv Kumar}, title = {Federated Learning with Only Positive Labels}, booktitle = {Proceedings of the 37th International Conference on Machine Learning, {ICML} 2020, 13-18 July 2020, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {119}, pages = {10946--10956}, publisher = {{PMLR}}, year = {2020}, url = {http://proceedings.mlr.press/v119/yu20f.html}, timestamp = {Tue, 15 Dec 2020 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/YuRMK20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/BhagojiCMC19, author = {Arjun Nitin Bhagoji and Supriyo Chakraborty and Prateek Mittal and Seraphin B. Calo}, editor = {Kamalika Chaudhuri and Ruslan Salakhutdinov}, title = {Analyzing Federated Learning through an Adversarial Lens}, booktitle = {Proceedings of the 36th International Conference on Machine Learning, {ICML} 2019, 9-15 June 2019, Long Beach, California, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {97}, pages = {634--643}, publisher = {{PMLR}}, year = {2019}, url = {http://proceedings.mlr.press/v97/bhagoji19a.html}, timestamp = {Tue, 11 Jun 2019 15:37:38 +0200}, biburl = {https://dblp.org/rec/conf/icml/BhagojiCMC19.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/MohriSS19, author = {Mehryar Mohri and Gary Sivek and Ananda Theertha Suresh}, editor = {Kamalika Chaudhuri and Ruslan Salakhutdinov}, title = {Agnostic Federated Learning}, booktitle = {Proceedings of the 36th International Conference on Machine Learning, {ICML} 2019, 9-15 June 2019, Long Beach, California, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {97}, pages = {4615--4625}, publisher = {{PMLR}}, year = {2019}, url = {http://proceedings.mlr.press/v97/mohri19a.html}, timestamp = {Tue, 11 Jun 2019 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/MohriSS19.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/YurochkinAGGHK19, author = {Mikhail Yurochkin and Mayank Agarwal and Soumya Ghosh and Kristjan H. Greenewald and Trong Nghia Hoang and Yasaman Khazaeni}, editor = {Kamalika Chaudhuri and Ruslan Salakhutdinov}, title = {Bayesian Nonparametric Federated Learning of Neural Networks}, booktitle = {Proceedings of the 36th International Conference on Machine Learning, {ICML} 2019, 9-15 June 2019, Long Beach, California, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {97}, pages = {7252--7261}, publisher = {{PMLR}}, year = {2019}, url = {http://proceedings.mlr.press/v97/yurochkin19a.html}, timestamp = {Tue, 11 Jun 2019 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/YurochkinAGGHK19.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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