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Publication search results
found 43 matches
- 2023
- Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha:
FedDefender: Client-Side Attack-Tolerant Federated Learning. KDD 2023: 1850-1861 - Jun Wu, Wenxuan Bao, Elizabeth A. Ainsworth, Jingrui He:
Personalized Federated Learning with Parameter Propagation. KDD 2023: 2594-2605 - Zeyu Cao, Zhipeng Liang, Bingzhe Wu, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao:
Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation. KDD 2023: 154-166 - Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou:
FS-REAL: Towards Real-World Cross-Device Federated Learning. KDD 2023: 3829-3841 - Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan:
FedMultimodal: A Benchmark for Multimodal Federated Learning. KDD 2023: 4035-4045 - Junyuan Hong, Zhuangdi Zhu, Lingjuan Lyu, Yang Zhou, Vishnu Naresh Boddeti, Jiayu Zhou:
International Workshop on Federated Learning for Distributed Data Mining. KDD 2023: 5861-5862 - Ruixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen:
PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation. KDD 2023: 4539-4548 - Zhen Qin, Shuiguang Deng, Mingyu Zhao, Xueqiang Yan:
FedAPEN: Personalized Cross-silo Federated Learning with Adaptability to Statistical Heterogeneity. KDD 2023: 1954-1964 - Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng:
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. KDD 2023: 4743-4755 - Md. Mahmudur Rahman, Sanjay Purushotham:
FedPseudo: Privacy-Preserving Pseudo Value-Based Deep Learning Models for Federated Survival Analysis. KDD 2023: 1999-2009 - Qiheng Sun, Xiang Li, Jiayao Zhang, Li Xiong, Weiran Liu, Jinfei Liu, Zhan Qin, Kui Ren:
ShapleyFL: Robust Federated Learning Based on Shapley Value. KDD 2023: 2096-2108 - Yangyang Wang, Xiao Zhang, Mingyi Li, Tian Lan, Huashan Chen, Hui Xiong, Xiuzhen Cheng, Dongxiao Yu:
Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity. KDD 2023: 2444-2455 - Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li:
Federated Few-shot Learning. KDD 2023: 2374-2385 - Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang:
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. KDD 2023: 2648-2659 - Gang Yan, Hao Wang, Xu Yuan, Jian Li:
CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning. KDD 2023: 2898-2907 - Jingwei Yi, Fangzhao Wu, Bin Zhu, Jing Yao, Zhulin Tao, Guangzhong Sun, Xing Xie:
UA-FedRec: Untargeted Attack on Federated News Recommendation. KDD 2023: 5428-5438 - Raneen Younis, Zahra Ahmadi, Abdul Hakmeh, Marco Fisichella:
FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework. KDD 2023: 3140-3150 - Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework. KDD 2023: 3297-3308 - Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. KDD 2023: 3249-3261 - Wenhao Zhang, Zimu Zhou, Yansheng Wang, Yongxin Tong:
DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization. KDD 2023: 3396-3408 - 2022
- Di Chai, Leye Wang, Junxue Zhang, Liu Yang, Shuowei Cai, Kai Chen, Qiang Yang:
Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data. KDD 2022: 46-55 - Jiayi Chen, Aidong Zhang:
FedMSplit: Correlation-Adaptive Federated Multi-Task Learning across Multimodal Split Networks. KDD 2022: 87-96 - Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang:
Collaboration Equilibrium in Federated Learning. KDD 2022: 241-251 - Seok-Ju Hahn, Minwoo Jeong, Junghye Lee:
Connecting Low-Loss Subspace for Personalized Federated Learning. KDD 2022: 505-515 - Yaliang Li, Bolin Ding, Jingren Zhou:
A Practical Introduction to Federated Learning. KDD 2022: 4802-4803 - Junyi Li, Jian Pei, Heng Huang:
Communication-Efficient Robust Federated Learning with Noisy Labels. KDD 2022: 914-924 - Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie:
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. KDD 2022: 3398-3406 - Qiying Pan, Yifei Zhu:
FedWalk: Communication Efficient Federated Unsupervised Node Embedding with Differential Privacy. KDD 2022: 1317-1326 - Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. KDD 2022: 4110-4120 - Yansheng Wang, Yongxin Tong, Zimu Zhou, Ziyao Ren, Yi Xu, Guobin Wu, Weifeng Lv:
Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch. KDD 2022: 4079-4089
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