Data-Centric Client Selection for Federated Learning Over Distributed Edge Networks
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DOI: 10.1109/tpds.2022.3217271
Abstract: This work presents an efficient data-centric client selection approach, named DICE, to enable federated learning (FL) over distributed edge networks. Prior research focused on assessing the computation and communication ability of the client devices for… read more here.
Keywords: client selection; client; data centric; edge ... See more keywords