Corpus ID: 16861557

Federated Learning of Deep Networks using Model Averaging

@article{McMahan2016FederatedLO,
  title={Federated Learning of Deep Networks using Model Averaging},
  author={H. B. McMahan and Eider Moore and D. Ramage and B. A. Y. Arcas},
  journal={ArXiv},
  year={2016},
  volume={abs/1602.05629}
}

• H. B. McMahan, Eider Moore, +1 author B. A. Y. Arcas
• Published 2016
• Computer Science
• ArXiv

Modern mobile devices have access to a wealth of data suitable for learning models, which in turn can greatly improve the user experience on the device. [...] Key Method We term this decentralized approach Federated Learning. We present a practical method for the federated learning of deep networks that proves robust to the unbalanced and non-IID data distributions that naturally arise.Expand

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