Towards Fair Graph Federated Learning via Incentive Mechanisms

20 December 2023

Papers citing "Towards Fair Graph Federated Learning via Incentive Mechanisms"

5 / 5 papers shown

Title
Fairness in Graph Learning Augmented with Machine Learning: A Survey Renqiang Luo Ziqi Xu X. Zhang Qing Qing Huafei Huang Enyan Dai Z. Wang Bo Yang FaML 52 0 0 30 Apr 2025
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives Zhengyu Wu Boyang Pang Xunkai Li Bo Li Daohan Su Bowen Fan R. Li Guoren Wang Chenghu Zhou FedML 38 0 0 14 Apr 2025
Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An Edge-assisted Federated Prototype Knowledge Distillation Approach Luyao Zou Quang Hieu Vo Kitae Kim Huy Q. Le Chu Myaet Thwal Chaoning Zhang Choong Seon Hong 34 1 0 17 Oct 2024
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 153 459 0 01 May 2021
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 88 115 0 08 Dec 2020