Accelerated-Federated-Learning-Over-MAC-in-Heterogeneous-Networks
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About the params and controls explosion caused by the increase of the local_epoch
Hi, I have increased the local_epochs from 1 to 4 under the SCAFFOLD algorithm, and the result was non-converged, and the params and controls exploded. Wondering if it could be a problem with the code, or, could it be a problem with the SCAFFOLD algorithm itself? Thanks a lot.
running codes:
femnist_dict = {"model": "mclr", "batch_size": 4, "learning_rate": 0.001, "local_epochs": 4, "L": 0, "users_per_round": 20}
the results: