13 citations · 57 across the 29 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
math.OC2020★ 13 cited
Distributed Proximal Splitting Algorithms with Rates and Acceleration
Laurent Condat, Grigory Malinovsky, Peter Richtárik
We analyze several generic proximal splitting algorithms well suited for large-scale convex nonsmooth optimization. We derive sublinear and linear convergence results with new rate…
cs.LG2020★ 10 cited
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…