Over-the-Air Federated Learning From Heterogeneous Data
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DOI: 10.1109/tsp.2021.3090323
Abstract: We focus on over-the-air (OTA) Federated Learning (FL), which has been suggested recently to reduce the communication overhead of FL due to the repeated transmissions of the model updates by a large number of users… read more here.
Keywords: cotaf; federated learning; convergence; air federated ... See more keywords
Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-Aided Over-the-Air Federated Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Wireless Communications"
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