Risk Minimization Against Transmission Failures of Federated Learning in Mobile Edge Networks
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DOI: 10.1109/access.2020.2996307
Abstract: A variety of modern AI products essentially require raw user data for training diverse machine learning models. With the increasing concern on data privacy, federated learning, a decentralized learning framework, enables privacy-preserving training of models… read more here.
Keywords: federated learning; model updates; transmission failures; edge networks ... See more keywords