Abstract: As deep learning (DL) models continue to grow in size, there is a pressing need for distributed model learning using a large number of devices (e.g., G PU s) and servers. Collective ...

Abstract: Federated Learning (FL) is a distributed machine learning framework that allows multiple clients to collaboratively train an intermediate model with keeping data local, however, sensitive ...