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@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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