GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning

5 August 2021

Papers citing "GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning"

20 / 20 papers shown

Title
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning Rongguang Ye Ming Tang FedML 48 0 0 30 Apr 2025
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective Raed Al Kontar FedML 25 0 0 12 Nov 2024
Equitable Federated Learning with Activation Clustering Antesh Upadhyay Abolfazl Hashemi FedML 21 0 0 24 Oct 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning Syed Irfan Ali Meerza Jian-Dong Liu 27 2 0 02 Oct 2024
Oh the Prices You'll See: Designing a Fair Exchange System to Mitigate Personalized Pricing Aditya Karan Naina Balepur Hari Sundaram 13 0 0 04 Sep 2024
Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing Yuying Duan Yijun Tian Nitesh V. Chawla Michael Lemmon FedML 21 2 0 28 May 2024
PraFFL: A Preference-Aware Scheme in Fair Federated Learning Rongguang Ye Wei-Bin Kou Ming Tang FedML 31 4 0 13 Apr 2024
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning Syed Irfan Ali Meerza Luyang Liu Jiaxin Zhang Jian-Dong Liu FedML 13 2 0 07 Jan 2024
Multi-dimensional Fair Federated Learning Cong Su Guoxian Yu Jun Wang Hui Li Qingzhong Li Han Yu FedML 17 3 0 09 Dec 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 17 43 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 27 39 0 14 Jun 2023
Personalized Dictionary Learning for Heterogeneous Datasets Geyu Liang Naichen Shi Raed Al Kontar S. Fattahi 18 6 0 24 May 2023
Echoes of Biases: How Stigmatizing Language Affects AI Performance Yizhi Liu Weiguang Wang G. Gao Ritu Agarwal 14 2 0 17 May 2023
Mitigating Group Bias in Federated Learning: Beyond Local Fairness G. Wang Ali Payani Myungjin Lee Ramana Rao Kompella FedML 24 8 0 17 May 2023
Federated Data Analytics: A Study on Linear Models Xubo Yue Raed Al Kontar Ana María Estrada Gómez FedML 13 12 0 15 Jun 2022
Fair Federated Learning via Bounded Group Loss Shengyuan Hu Zhiwei Steven Wu Virginia Smith FaML FedML 11 14 0 18 Mar 2022
Proportional Fairness in Federated Learning Guojun Zhang Saber Malekmohammadi Xi Chen Yaoliang Yu FedML 17 24 0 03 Feb 2022
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... C. Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 28 47 0 09 Nov 2021
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 79 108 0 20 Oct 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 177 1,031 0 29 Nov 2018