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…