Submodular Maximization Approaches for Equitable Client Selection in Federated Learning

Andrés Catalino Castillo Jiménez, Ege C. Kaya, Lintao Ye +1

In a conventional Federated Learning framework, client selection for training typically involves the random sampling of a subset of clients in each iteration. However, this random…