FOCUS: Fairness via Agent-Awareness for Federated Learning on
Heterogeneous Data

FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data

21 July 2022

Chulin Xie

Papers citing "FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data"

9 / 9 papers shown

Title
Achieving Distributive Justice in Federated Learning via Uncertainty Quantification Alycia N. Carey Xintao Wu FedML 25 0 0 22 Apr 2025
Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimization Meitong Liu Xiaoyuan Zhang Chulin Xie Kate Donahue Han Zhao 13 0 0 29 Oct 2024
Federated Fairness Analytics: Quantifying Fairness in Federated Learning Oscar Dilley Juan Marcelo Parra Ullauri Rasheed Hussain Dimitra Simeonidou FedML 26 0 0 15 Aug 2024
FedFair^3: Unlocking Threefold Fairness in Federated Learning Simin Javaherian Sanjeev Panta Shelby Williams Md Sirajul Islam Li Chen FedML 13 5 0 29 Jan 2024
On the Vulnerability of Fairness Constrained Learning to Malicious Noise Avrim Blum Princewill Okoroafor Aadirupa Saha Kevin Stangl 13 1 0 21 Jul 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
Fair Federated Learning via Bounded Group Loss Shengyuan Hu Zhiwei Steven Wu Virginia Smith FaML FedML 6 14 0 18 Mar 2022
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
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 177 1,014 0 29 Nov 2018