Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks

31 Oct 2019Howard H. YangAhmed ArafaTony Q. S. QuekH. Vincent Poor

Federated learning (FL) is a machine learning model that preserves data privacy in the training process. Specifically, FL brings the model directly to the user equipments (UEs) for local training, where an edge server periodically collects the trained parameters to produce an improved model and sends it back to the UEs... (read more)

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