Client Selection for Wireless Federated Learning With Data and Latency Heterogeneity
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DOI: 10.1109/jiot.2024.3425757
Abstract: Federated learning is a distributed machine learning paradigm that allows multiple edge devices to collaboratively train a shared model without exchanging raw data. However, the training efficiency of federated learning is highly dependent on client… read more here.
Keywords: data latency; federated learning; client selection;