LAUSR

Clustered Federated Learning in Heterogeneous Environment.

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2 Published in 2023 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2023.3264740

Abstract: Federated learning (FL) is a distributed machine learning framework that allows resource-constrained clients to train a global model jointly without compromising data privacy. Although FL is widely adopted, high degrees of systems and statistical heterogeneity… read more here.

Keywords: heterogeneity; clustered federated; federated learning; statistical heterogeneity ... See more keywords