Non-Convex Federated Optimization under Cost-Aware Client Selection

TL;DR

We propose a composite gradient method with SAGA and recursive gradient estimator for non-convex federated optimization that can exploit second-order similarity and achieve high communication and local computation efficiency.

Opening excerpt from the authors’ abstract. source