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cs.LG2024
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning
Jiashi Gao, Ziwei Wang, Xiangyu Zhao +3
Federated learning (FL), integrating group fairness mechanisms, allows multiple clients to collaboratively train a global model that makes unbiased decisions for different populati…
cs.LG2023★ 1 cited
Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect
Jiashi Gao, Xin Yao, Xuetao Wei
Federated learning (FL) stands as a paradigmatic approach that facilitates model training across heterogeneous and diverse datasets originating from various data providers. However…