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This model works by using Federated Averaging (FDA) for SGD. The optimization in the loss purpose is completed with SGD, as in the majority of federated learning systems. Just about every MEC runs SGD By itself personal information and periodically synchronizes with other MECs by amassing averages and sharing the optimal Resolution from all of the