FedHC is a hierarchical clustered FL framework for satellites that reduces processing time up to 3x and energy up to 2x via clustered PS selection and meta-learning re-clustering while keeping model accuracy.
Communication-efficient satellite-ground federated learning through progressive weight quantization,
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FedHC: A Hierarchical Clustered Federated Learning Framework for Satellite Networks
FedHC is a hierarchical clustered FL framework for satellites that reduces processing time up to 3x and energy up to 2x via clustered PS selection and meta-learning re-clustering while keeping model accuracy.