VFedCS: Optimizing Client Selection for Volatile Federated Learning
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DOI: 10.1109/jiot.2022.3195073
Abstract: Federated learning (FL) has shown great potential as a privacy-preserving solution to training a centralized model based on local data from available clients. However, we argue that, over the course of training, the available clients… read more here.
Keywords: client selection; client; training; federated learning ... See more keywords