Faris Misfir Alshahrany

Adaptive Proximal Regulation for Fair Client Participation in Federated Learning

Federated Learning (FL) enables decentralized model training across multiple clients while preserving data privacy; however, it faces significant challenges related to statistical heterogeneity and fairness across participating clients. Prior work has shown that dominant clients can disproportionately influence global...