FedHKD-SA: Bilateral optimization method for combating forgetting in personalized federated learning
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DOI: 10.1109/jiot.2025.3624227
Abstract: Federated learning (FL) is an emerging paradigm in edge computing that facilitates the training of machine learning models across numerous resource-constrained edge devices without the necessity of transferring data to a centralized server. A significant… read more here.
Keywords: bilateral optimization; knowledge; fedhkd bilateral; federated learning ... See more keywords