Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-Aided Over-the-Air Federated Learning
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DOI: 10.1109/twc.2022.3188502
Abstract: Over-the-air federated learning (AirFL) allows devices to train a learning model in parallel and synchronize their local models using over-the-air computation. The integrity of AirFL is vulnerable due to the obscurity of the local models… read more here.
Keywords: air federated; accuracy; accuracy integrity; federated learning ... See more keywords