FedDiverse: Tackling Data Heterogeneity in Federated Learning with Diversity-Driven Client Selection

Gergely D. Németh, Eros Fanì, Yeat Jeng Ng +4

Federated Learning (FL) enables decentralized training of machine learning models on distributed data while preserving privacy. However, in real-world FL settings, client data is o…