Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints

Monica Ribero, Haris Vikalo, Gustavo De Veciana

Federated learning systems facilitate training of global models in settings where potentially heterogeneous data is distributed across a large number of clients. Such systems opera…