Asynchronous Federated Optimization

Code

• github.com/xcgoner/async_fl
  Officialmxnet★ 0

Abstract

Federated learning enables training on a massive number of edge devices. To improve flexibility and scalability, we propose a new asynchronous federated optimization algorithm. We prove that the proposed approach has near-linear convergence to a global optimum, for both strongly convex and a restricted family of non-convex problems. Empirical results show that the proposed algorithm converges quickly and tolerates staleness in various applications.

Tasks

Reproductions