1. Advances and Open Problems in Federated Learning
2. Communication-efficient learning of deep networks from decentralized data;McMahan,2017
3. A unified theory of decentralized SGD with changing topology and local updates;Koloskova
4. Distributed stochastic gradient descent: Nonconvexity, nonsmoothness, and convergence to local minima;Swenson;arXiv preprint,2020
5. Cooperative SGD: A unified framework for the design and analysis of local-update SGD algorithms;Wang;The Journal of Machine Learning Research,2021