A Semi-Federated Active Learning Framework for Unlabeled Online Network Data
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DOI: 10.3390/math11081972
Abstract: Federated Learning (FL) is a newly emerged federated optimization technique for distributed data in a federated network. The participants in FL that train the model locally are classified into client nodes. The server node assumes… read more here.
Keywords: network; active learning; semi federated; unlabeled online ... See more keywords