Fair Federated Learning via Bounded Group Loss

18 March 2022

Papers citing "Fair Federated Learning via Bounded Group Loss"

8 / 8 papers shown

Title
PraFFL: A Preference-Aware Scheme in Fair Federated Learning Rongguang Ye Wei-Bin Kou Ming Tang FedML 31 4 0 13 Apr 2024
Fairness and Privacy in Federated Learning and Their Implications in Healthcare Navya Annapareddy Jade F. Preston Judy Fox FedML 11 3 0 15 Aug 2023
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods Raphael Poulain Mirza Farhan Bin Tarek Rahmatollah Beheshti FedML 16 20 0 19 May 2023
Multicalibrated Regression for Downstream Fairness Ira Globus-Harris Varun Gupta Christopher Jung Michael Kearns Jamie Morgenstern Aaron Roth FaML 45 11 0 15 Sep 2022
Unified Group Fairness on Federated Learning Fengda Zhang Kun Kuang Yuxuan Liu Long Chen Chao-Xiang Wu Fei Wu Jiaxun Lu Yunfeng Shao Jun Xiao FedML 47 20 0 09 Nov 2021
FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation Yan Shen Jianguo Du Hao Zhang Benyu Zhang Zhanghexuan Ji Mingchen Gao FedML 26 13 0 16 Oct 2021
Enforcing fairness in private federated learning via the modified method of differential multipliers Borja Rodríguez Gálvez Filip Granqvist Rogier van Dalen M. Seigel FedML 36 51 0 17 Sep 2021
FedFair: Training Fair Models In Cross-Silo Federated Learning Lingyang Chu Lanjun Wang Yanjie Dong J. Pei Zirui Zhou Yong Zhang FedML 56 40 0 13 Sep 2021