Client Adaptation improves Federated Learning with Simulated Non-IID Clients

1 code implementation • 9 Jul 2020 • Laura Rieger, Rasmus M. Th. Høegh, Lars K. Hansen

We present a federated learning approach for learning a client adaptable, robust model when data is non-identically and non-independently distributed (non-IID) across clients.

Federated Learning