Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients

Aritra Mitra, Rayana Jaafar, George J. Pappas +1

We consider a standard federated learning (FL) architecture where a group of clients periodically coordinate with a central server to train a statistical model. We develop a genera…