FedFa: A Fully Asynchronous Training Paradigm for Federated Learning

no code implementations • 17 Apr 2024 • Haotian Xu, Zhaorui Zhang, Sheng Di, Benben Liu, Khalid Ayed Alharthi, Jiannong Cao

We propose a full asynchronous training paradigm, called FedFa, which can guarantee model convergence and eliminate the waiting time completely for federated learning by using a few buffered results on the server for parameter updating.

Federated Learning