2 papers
cs.LG2020
Optimal Gradient Compression for Distributed and Federated Learning
Alyazeed Albasyoni, Mher Safaryan, Laurent Condat +1
Communicating information, like gradient vectors, between computing nodes in distributed and federated learning is typically an unavoidable burden, resulting in scalability issues.…
cs.LG2020
From Local SGD to Local Fixed-Point Methods for Federated Learning
Grigory Malinovsky, Dmitry Kovalev, Elnur Gasanov +2
Most algorithms for solving optimization problems or finding saddle points of convex-concave functions are fixed-point algorithms. In this work we consider the generic problem of f…