no code implementations • 1 Dec 2020 • K. R. Jayaram, Archit Verma, Ashish Verma, Gegi Thomas, Colin Sutcher-Shepard
Federated learning enables multiple, distributed participants (potentially on different clouds) to collaborate and train machine/deep learning models by sharing parameters/gradients.
1 code implementation • 21 Feb 2020 • Yangyang Xu, Colin Sutcher-Shepard, Yibo Xu, Jie Chen
The proposed method is tested on both convex and non-convex machine learning problems, and the numerical results demonstrate its clear advantages over the sync counterpart and the async-parallel nonadaptive SGM.
Optimization and Control Distributed, Parallel, and Cluster Computing Numerical Analysis Numerical Analysis 90C15, 65Y05, 68W15, 65K05