Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data

Hongda Wu, Ping Wang

Federated Learning (FL) is a distributed learning paradigm that enables a large number of resource-limited nodes to collaboratively train a model without data sharing. The non-inde…