Towards Fair Graph Federated Learning via Incentive Mechanisms

20 December 2023

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

6 / 6 papers shown

Title
GraphFedMIG: Tackling Class Imbalance in Federated Graph Learning via Mutual Information-Guided Generation Xinrui Li Qilin Fan Tianfu Wang Kaiwen Wei Ke Yu Xu Zhang FedML 92 0 0 14 Aug 2025
FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRAIEEE Transactions on Medical Imaging (IEEE TMI), 2025 Minghan Li Congcong Wen Yu Tian Min Shi Yan Luo Niraj Pudasaini Yi Fang Mengyu Wang 109 1 0 21 Jul 2025
A Reliable Vertical Federated Learning Framework for Traffic State Estimation with Data Selection and Incentive Mechanisms Zijun Zhan Yaxian Dong Daniel Mawunyo Doe Yuqing Hu Shuai Li Shaohua Cao Z. Han FedML 119 0 0 02 Jun 2025
Fairness in Graph Learning Augmented with Machine Learning: A Survey Renqiang Luo Ziqi Xu Xinyu Zhang Qing Qing Huafei Huang Enyan Dai Zechuan Wang Bo Yang FaML 208 0 0 30 Apr 2025
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives Zhengyu Wu Boyang Pang Miao Hu Yinlin Zhu Daohan Su Bowen Fan Rong-Hua Li Guoren Wang Chenghu Zhou FedML 211 0 0 14 Apr 2025
Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An Edge-assisted Federated Prototype Knowledge Distillation ApproachIEEE Transactions on Network and Service Management (TNSM), 2024 Luyao Zou Quang Hieu Vo Kitae Kim Huy Q. Le Chu Myaet Thwal Chaoning Zhang Choong Seon Hong 167 1 0 17 Oct 2024