Enhancing Semi-Supervised Federated Learning With Progressive Training in Heterogeneous Edge Computing
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DOI: 10.1109/tmc.2024.3492140
Abstract: Federated learning (FL) is an efficient distributed learning method that facilitates collaborative model training among multiple edge devices (or clients). However, current research always assumes that clients have access to ground-truth data for training, which… read more here.
Keywords: progressive training; training; semi supervised; model ... See more keywords