Communication-Efficient Learning of Deep Networks from Decentralized Data, H. Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, Blaise Agüera y Arcas, 2017Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS) 2017. JMLR: W&CP, Vol. 54 (Journal of Machine Learning Research (JMLR) - Workshop and Conference Proceedings)DOI: 10.48550/arXiv.1602.05629 - Presents Federated Averaging (FedAvg), a core algorithm for federated learning, especially suitable for communication-constrained environments like cross-device settings.