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: Decentralized federated learning (DFL) is a variant of federated learning, where edge nodes only communicate with their one-hop neighbors to learn the optimal model. However, as information ...