Game of Gradients: Mitigating Irrelevant Clients in Federated Learning

23 October 2021

Papers citing "Game of Gradients: Mitigating Irrelevant Clients in Federated Learning"

31 / 31 papers shown

Title
Decoding FL Defenses: Systemization, Pitfalls, and Remedies M. A. Khan Virat Shejwalkar Yasra Chandio Amir Houmansadr Fatima M. Anwar AAML 38 0 0 03 Feb 2025
Data Overvaluation Attack and Truthful Data Valuation Shuyuan Zheng Sudong Cai Chuan Xiao Yang Cao Jianbin Qin Masatoshi Yoshikawa Makoto Onizuka TDI AAML 65 0 0 01 Feb 2025
A Comprehensive Study of Shapley Value in Data Analytics Hong Lin Shixin Wan Zhongle Xie Ke Chen Meihui Zhang Lidan Shou Gang Chen 95 0 0 02 Dec 2024
FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning Z. Wen Wanglei Feng Di Wu Haozhen Hu Chang Xu Bin Qian Zhen Hong Cong Wang S. Ji FedML 80 0 0 18 Nov 2024
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data Ji Liu Juncheng Jia Hong Zhang Yuhui Yun Leye Wang Yang Zhou H. Dai Dejing Dou FedML 30 5 0 11 Aug 2024
Maverick-Aware Shapley Valuation for Client Selection in Federated Learning Mengwei Yang Ismat Jarin Baturalp Buyukates A. Avestimehr A. Markopoulou FedML 23 0 0 21 May 2024
Advances and Open Challenges in Federated Learning with Foundation Models Chao Ren Han Yu Hongyi Peng Xiaoli Tang Anran Li ... A. Tan Bo Zhao Xiaoxiao Li Zengxiang Li Qiang Yang FedML AIFin AI4CE 72 6 0 23 Apr 2024
GPFL: A Gradient Projection-Based Client Selection Framework for Efficient Federated Learning Shijie Na Yuzhi Liang S.M. Yiu FedML 31 0 0 26 Mar 2024
A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications Wei Guo Fuzhen Zhuang Xiao Zhang Yiqi Tong Jin Dong FedML 40 15 0 03 Mar 2024
Auditable Homomorphic-based Decentralized Collaborative AI with Attribute-based Differential Privacy Lo-Yao Yeh Sheng-Po Tseng Chia-Hsun Lu Chih-Ya Shen 14 1 0 28 Feb 2024
Gradient Coreset for Federated Learning D. Sivasubramanian Lokesh Nagalapatti Rishabh K. Iyer Ganesh Ramakrishnan FedML 31 1 0 13 Jan 2024
Greedy Shapley Client Selection for Communication-Efficient Federated Learning Pranava Singhal Shashi Raj Pandey P. Popovski FedML 15 4 0 14 Dec 2023
Using Cooperative Game Theory to Prune Neural Networks M. Diaz-Ortiz Benjamin Kempinski Daphne Cornelisse Yoram Bachrach Tal Kachman 33 2 0 17 Nov 2023
Mitigating Group Bias in Federated Learning for Heterogeneous Devices Khotso Selialia Yasra Chandio Fatima M. Anwar FedML 25 2 0 13 Sep 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 29 43 0 25 Jun 2023
Exploring Data Redundancy in Real-world Image Classification through Data Selection Zhenyu Tang Shaoting Zhang Xiaosong Wang 22 2 0 25 Jun 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 35 39 0 14 Jun 2023
Fair yet Asymptotically Equal Collaborative Learning Xiaoqiang Lin Xinyi Xu See-Kiong Ng Chuan-Sheng Foo Bryan Kian Hsiang Low FedML 16 7 0 09 Jun 2023
Towards Interpretable Federated Learning Anran Li Rui Liu Ming Hu Anh Tuan Luu Han Yu AI4CE FedML 19 15 0 27 Feb 2023
Recent Advances on Federated Learning: A Systematic Survey Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 60 78 0 03 Jan 2023
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization Yueqi Xie Weizhong Zhang Renjie Pi Fangzhao Wu Qifeng Chen Xing Xie Sunghun Kim FedML 18 7 0 10 Nov 2022
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 27 58 0 10 Oct 2022
A Snapshot of the Frontiers of Client Selection in Federated Learning Gergely Németh M. Lozano Novi Quadrianto Nuria Oliver FedML 102 14 0 27 Sep 2022
Secure Shapley Value for Cross-Silo Federated Learning (Technical Report) Shuyuan Zheng Yang Cao Masatoshi Yoshikawa FedML 63 24 0 11 Sep 2022
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning Ashish Gupta Tie-Mei Luo Mao V. Ngo Sajal K. Das AAML FedML 37 13 0 14 Aug 2022
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server Hong Zhang Ji Liu Juncheng Jia Yang Zhou H. Dai Dejing Dou FedML 10 44 0 25 Apr 2022
Learnings from Federated Learning in the Real world Christophe Dupuy Tanya Roosta Leo Long Clement Chung Rahul Gupta A. Avestimehr FedML 20 10 0 08 Feb 2022
Minimax Demographic Group Fairness in Federated Learning Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FaML FedML 16 43 0 20 Jan 2022
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification Huanlai Xing Zhiwen Xiao R. Qu Zonghai Zhu Bowen Zhao FedML 35 108 0 30 Dec 2021
Optimality and Stability in Federated Learning: A Game-theoretic Approach Kate Donahue Jon M. Kleinberg FedML 11 45 0 17 Jun 2021
Quality Inference in Federated Learning with Secure Aggregation Balázs Pejó G. Biczók FedML 19 22 0 13 Jul 2020