FEEL: Federated End-to-End Learning With Non-IID Data for Vehicular Ad Hoc Networks
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DOI: 10.1109/tits.2022.3190294
Abstract: Recent studies have demonstrated the potentials of federated learning (FL) in achieving cooperative and privacy-preserving data analytics. It would also be promising if FL can be employed in vehicular ad hoc networks (VANETs) for cooperative… read more here.
Keywords: non iid; federated end; hoc networks; iid data ... See more keywords