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Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data
( Elsevier B.V. , 2022 , Article)
Federated Learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data. It is a promising solution for telemonitoring ...