Federated Optimization for Heterogeneous Networks

    arXiv: Learning, 2018.

    Cited by: 0|Bibtex|Views12|

    Abstract:

    Federated learning involves training machine learning models in massively distributed networks. While Federated Averaging~(fedavg) is the leading optimization method for training non-convex models in this setting, its behavior is not well understood in realistic federated settings when learning across statistically heterogeneous devices, ...More

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