Proportional Fairness in Federated Learning

Proportional Fairness in Federated Learning

3 February 2022

Saber Malekmohammadi

Papers citing "Proportional Fairness in Federated Learning"

19 / 19 papers shown

Title
A Flexible Fairness Framework with Surrogate Loss Reweighting for Addressing Sociodemographic Disparities Wen Xu Elham Dolatabadi FaML 87 0 0 21 Mar 2025
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning Saber Malekmohammadi Yaoliang Yu Yang Cao FedML 83 5 0 17 Feb 2025
Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimization Meitong Liu Xiaoyuan Zhang Chulin Xie Kate Donahue Han Zhao 13 1 0 29 Oct 2024
FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation Zhichao Wang Lin Wang Yongxin Guo Ying-Jun Angela Zhang Xiaoying Tang FedML 20 0 0 26 Oct 2024
Generalization Error of the Tilted Empirical Risk Gholamali Aminian Amir R. Asadi Tian Li Ahmad Beirami G. Reinert Samuel N. Cohen 16 1 0 28 Sep 2024
Enhancing Group Fairness in Federated Learning through Personalization Yifan Yang Ali Payani Parinaz Naghizadeh Ardabili FedML 27 0 0 27 Jul 2024
Achieving Fairness Across Local and Global Models in Federated Learning Disha Makhija Xing Han Joydeep Ghosh Yejin Kim FedML 35 5 0 24 Jun 2024
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making S. Hahn Gi-Soo Kim Junghye Lee FedML 20 1 0 31 May 2024
Provable Multi-Party Reinforcement Learning with Diverse Human Feedback Huiying Zhong Zhun Deng Weijie J. Su Zhiwei Steven Wu Linjun Zhang 47 13 0 08 Mar 2024
Fair Resource Allocation in Multi-Task Learning Hao Ban Kaiyi Ji 22 9 0 23 Feb 2024
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data Michalis Pistos Gang Li Weili Lin Dinggang Shen I. Rekik 13 0 0 01 Jan 2024
Federated Learning Under Restricted User Availability Periklis Theodoropoulos Konstantinos E. Nikolakakis Dionysios S. Kalogerias FedML 16 1 0 25 Sep 2023
Understanding the Role of Layer Normalization in Label-Skewed Federated Learning Guojun Zhang Mahdi Beitollahi Alex Bie Xi Chen FedML MLT AI4CE 14 1 0 18 Aug 2023
Scaff-PD: Communication Efficient Fair and Robust Federated Learning Yaodong Yu Sai Praneeth Karimireddy Yi-An Ma Michael I. Jordan FedML 21 3 0 25 Jul 2023
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning Peizhong Ju A. Ghosh Ness B. Shroff 17 4 0 01 Jun 2023
Entropy-driven Fair and Effective Federated Learning Lung-Chuang Wang Zhichao Wang Sai Praneeth Karimireddy Xiaoying Tang Xiaoying Tang FedML 25 9 0 29 Jan 2023
On Tilted Losses in Machine Learning: Theory and Applications Tian Li Ahmad Beirami Maziar Sanjabi Virginia Smith 47 38 0 13 Sep 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 233 486 0 31 Dec 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 162 563 0 27 Jul 2020