no code implementations • 21 Apr 2021 • Irene Tenison, Sreya Francis, Irina Rish
Federated Averaging (FedAVG) has become the most popular federated learning algorithm due to its simplicity and low communication overhead.
no code implementations • 14 Apr 2021 • Sreya Francis, Irene Tenison, Irina Rish
In this paper, we propose an approach for learning invariant (causal) features common to all participating clients in a federated learning setup and analyze empirically how it enhances the Out of Distribution (OOD) accuracy as well as the privacy of the final learned model.