Communication-Efficient Learning of Deep Networks from Decentralized Data, H. Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Agüera y Arcas, 2017Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS), Vol. 54 (PMLR) - The foundational paper introducing Federated Averaging (FedAvg), which serves as the baseline for many subsequent federated learning algorithms and whose limitations are addressed by FedProx.