Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning

Zachary Charles, Kallista Bonawitz, Stanislav Chiknavaryan +2

Federated learning (FL) is a framework for machine learning across heterogeneous client devices in a privacy-preserving fashion. To date, most FL algorithms learn a "global" server…