Ravikumar Balakrishnan

Diverse Client Selection for Federated Learning via Submodular Maximization

In every communication round of federated learning, a random subset of clients communicate their model updates back to the server which then aggregates them all. The optimal size of this subset is not known and several studies have shown that typically random selection does not perform ve…