Personalized Federated Learning with Moreau Envelopes

16 June 2020

Papers citing "Personalized Federated Learning with Moreau Envelopes"

50 / 121 papers shown

Title
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning Van Tuan Tran Huy Hieu Pham Kok-Seng Wong FedML 21 7 0 22 Feb 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 69 47 0 21 Feb 2023
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity Han Wang A. Mitra Hamed Hassani George J. Pappas James Anderson FedML 19 21 0 04 Feb 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks Zeyu Qin Liuyi Yao Daoyuan Chen Yaliang Li Bolin Ding Minhao Cheng FedML 23 25 0 03 Feb 2023
Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes Konstantin Mishchenko Slavomír Hanzely Peter Richtárik FedML 14 5 0 17 Jan 2023
Graph Learning Across Data Silos Xiang Zhang Qiao Wang 19 1 0 17 Jan 2023
FedDebug: Systematic Debugging for Federated Learning Applications Waris Gill A. Anwar Muhammad Ali Gulzar FedML 16 11 0 09 Jan 2023
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Quyang Pan Xue Jiang Bo Gao 27 31 0 01 Jan 2023
Graph Federated Learning with Hidden Representation Sharing Shuang Wu Mingxuan Zhang Yuantong Li Carl Yang Pan Li FedML 19 1 0 23 Dec 2022
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning Xueyang Tang Song Guo Jie M. Zhang FedML OODD OOD 16 3 0 21 Nov 2022
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics Renjie Pi Weizhong Zhang Yueqi Xie Jiahui Gao Xiaoyu Wang Sunghun Kim Qifeng Chen DD 24 26 0 20 Nov 2022
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning Shangchao Su Min Yang Bin Li Xiangyang Xue VLM FedML 25 18 0 15 Nov 2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion Xue Yu Ziyi Liu Wu Wang Yifan Sun FedML 32 7 0 08 Nov 2022
FedTP: Federated Learning by Transformer Personalization Hongxia Li Zhongyi Cai Jingya Wang Jiangnan Tang Weiping Ding Chin-Teng Lin Ye-ling Shi FedML 20 59 0 03 Nov 2022
Federated Learning with Intermediate Representation Regularization Ye Lin Tun Chu Myaet Thwal Yu Min Park Seong-Bae Park C. Hong FedML 18 6 0 28 Oct 2022
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning Rui Ye Zhenyang Ni Chenxin Xu Jianyu Wang Siheng Chen Yonina C. Eldar FedML 14 31 0 14 Oct 2022
Find Your Friends: Personalized Federated Learning with the Right Collaborators Yi Sui Junfeng Wen Yenson Lau Brendan Leigh Ross Jesse C. Cresswell FedML 25 10 0 12 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning Taha Toghani Soomin Lee César A. Uribe FedML 24 6 0 03 Oct 2022
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation Taha Toghani César A. Uribe FedML 35 14 0 03 Oct 2022
Meta Knowledge Condensation for Federated Learning Ping Liu Xin Yu Joey Tianyi Zhou DD FedML 22 28 0 29 Sep 2022
FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive Bi-directional Global Objective Ping Luo Jieren Cheng Zhenhao Liu N. Xiong Jie Wu FedML 6 1 0 28 Sep 2022
Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks Chaoqun You Daquan Feng Kun Guo Howard H. Yang Tony Q. S. Quek 18 12 0 27 Sep 2022
Knowledge-Injected Federated Learning Zhenan Fan Zirui Zhou Jian Pei M. Friedlander Jiajie Hu Chengliang Li Yong Zhang FedML 12 4 0 16 Aug 2022
Personalized Federated Learning via Variational Bayesian Inference Xu Zhang Yinchuan Li Wenpeng Li Kaiyang Guo Yunfeng Shao FedML 36 85 0 16 Jun 2022
On Privacy and Personalization in Cross-Silo Federated Learning Ziyu Liu Shengyuan Hu Zhiwei Steven Wu Virginia Smith FedML 20 51 0 16 Jun 2022
On the Generalization of Wasserstein Robust Federated Learning Tung Nguyen Tuan Dung Nguyen Long Tan Le Canh T. Dinh N. H. Tran OOD FedML 16 6 0 03 Jun 2022
Secure Federated Clustering Songze Li Sizai Hou Baturalp Buyukates A. Avestimehr FedML 23 9 0 31 May 2022
DELTA: Diverse Client Sampling for Fasting Federated Learning Lung-Chuang Wang Yongxin Guo Tao R. Lin Xiaoying Tang FedML 21 20 0 27 May 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML 19 74 0 27 May 2022
Federated Split BERT for Heterogeneous Text Classification Zhengyang Li Shijing Si Jianzong Wang Jing Xiao FedML 17 21 0 26 May 2022
Federated learning: Applications, challenges and future directions Subrato Bharati Hossain Mondal Prajoy Podder V. B. Surya Prasath FedML 34 52 0 18 May 2022
Layer-wised Model Aggregation for Personalized Federated Learning Xiaosong Ma Jie M. Zhang Song Guo Wenchao Xu FedML 13 168 0 09 May 2022
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning Yanhang Shi Siguang Chen Haijun Zhang FedML 19 8 0 05 May 2022
Federated Learning with Partial Model Personalization Krishna Pillutla Kshitiz Malik Abdel-rahman Mohamed Michael G. Rabbat Maziar Sanjabi Lin Xiao FedML 34 152 0 08 Apr 2022
Sparse Federated Learning with Hierarchical Personalized Models Xiaofeng Liu Qing Wang Yunfeng Shao Yinchuan Li FedML 26 11 0 25 Mar 2022
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation An Xu Wenqi Li Pengfei Guo Dong Yang H. Roth Ali Hatamizadeh Can Zhao Daguang Xu Heng-Chiao Huang Ziyue Xu FedML 28 51 0 18 Mar 2022
Personalized Federated Learning with Exact Stochastic Gradient Descent Sotirios Nikoloutsopoulos I. Koutsopoulos Michalis K. Titsias FedML 21 9 0 20 Feb 2022
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning A. Bietti Chen-Yu Wei Miroslav Dudík John Langford Zhiwei Steven Wu FedML 20 43 0 10 Feb 2022
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning Shuang Dai Fanlin Meng FedML OnRL 21 21 0 07 Feb 2022
Towards Federated Learning on Time-Evolving Heterogeneous Data Yongxin Guo Tao R. Lin Xiaoying Tang FedML 9 30 0 25 Dec 2021
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating Yichen Ruan Carlee Joe-Wong FedML 19 87 0 11 Dec 2021
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving Manabu Nakanoya Junha Im Hang Qiu Sachin Katti Marco Pavone Sandeep P. Chinchali FedML 14 11 0 02 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 22 76 0 26 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 26 414 0 24 Nov 2021
A Personalized Federated Learning Algorithm: an Application in Anomaly Detection Ali Anaissi Basem Suleiman FedML 17 1 0 04 Nov 2021
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 15 71 0 27 Oct 2021
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision Chaoyang He Zhengyu Yang Erum Mushtaq Sunwoo Lee Mahdi Soltanolkotabi A. Avestimehr FedML 90 36 0 06 Oct 2021
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer Yae Jee Cho Jianyu Wang Tarun Chiruvolu Gauri Joshi FedML 17 29 0 16 Sep 2021
Federated Learning for Open Banking Guodong Long Yue Tan Jing Jiang Chengqi Zhang AIFin FedML 19 275 0 24 Aug 2021
Federated Multi-Task Learning under a Mixture of Distributions Othmane Marfoq Giovanni Neglia A. Bellet Laetitia Kameni Richard Vidal FedML 22 269 0 23 Aug 2021