2023
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
AISTATS 2023poster
Asynchronous learning protocols have regained attention lately, especially in the Federated Learning (FL) setup, where slower clients can severely impede the learning process. Herein, we propose AsyncDrop, a novel asynchronous FL framework that utilizes dropout regularization to handle device hetero…