PraFFL: A Preference-Aware Scheme in Fair Federated Learning

13 April 2024

Papers citing "PraFFL: A Preference-Aware Scheme in Fair Federated Learning"

6 / 6 papers shown

Title
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning Rongguang Ye Ming Tang FedML 48 0 0 30 Apr 2025
A Survey on Federated Fine-tuning of Large Language Models Yebo Wu Chunlin Tian Jingguang Li He Sun Kahou Tam Li Li Chengzhong Xu FedML 81 0 0 15 Mar 2025
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving Wei-Bin Kou Qingfeng Lin Ming Tang Rongguang Ye Shuai Wang Guangxu Zhu Yik-Chung Wu 29 4 0 29 Sep 2024
Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization Rongguang Ye Longcan Chen Wei-Bin Kou Jinyuan Zhang H. Ishibuchi 22 0 0 11 Aug 2024
Enforcing fairness in private federated learning via the modified method of differential multipliers Borja Rodríguez Gálvez Filip Granqvist Rogier van Dalen M. Seigel FedML 25 42 0 17 Sep 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 180 832 0 01 Mar 2021