Jointly Learning from Decentralized (Federated) and Centralized Data to Mitigate Distribution Shift

Sean Augenstein, Andrew Hard, Kurt Partridge +1

With privacy as a motivation, Federated Learning (FL) is an increasingly used paradigm where learning takes place collectively on edge devices, each with a cache of user-generated…