Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data
<p dir="ltr">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 systems that demand intensive data collection,...
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2022
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