Chronos: Accelerating Federated Learning With Resource Aware Training Volume Tuning at Network Edges
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DOI: 10.1109/tvt.2022.3218155
Abstract: Due to the limited resources and data privacy issue, last decade witnesses the fast development of Distributed Machine Learning (DML) at network edges. Among all the existing DML paradigms, Federated Learning (FL) would be a… read more here.
Keywords: federated learning; volume tuning; training volume; network edges ... See more keywords