CANITA: Faster rates for distributed convex optimization with communication compression

by LI, Zhize, RICHTARIK, Peter
Published 2021

Acceleration for compressed gradient descent in distributed and federated optimization

by LI, Zhize, KOVALEV, Dmitry, QIAN, Xun, RICHTARIK, Peter
Published 2020

MARINA: Faster non-convex distributed learning with compression

by GORBUNOV, Eduard, BURLACHENKO, Konstantin, LI, Zhize, RICHTARIK, Peter
Published 2021

PAGE: A simple and optimal probabilistic gradient estimator for nonconvex optimization

by LI, Zhize, BAO, Hongyan, ZHANG, Xiangliang, RICHTARIK, Peter
Published 2021

Faster rates for compressed federated learning with client-variance reduction

by ZHAO, Haoyu, BURLACHENKO, Konstantin, LI, Zhize, RICHTARIK, Peter
Published 2024

BEER: Fast O(1/T) rate for decentralized nonconvex optimization with communication compression

by ZHAO, Haoyu, LI, Boyue, LI, Zhize, RICHTARIK, Peter, CHI, Yuejie
Published 2022

3PC: Three point compressors for communication-efficient distributed training and a better theory for lazy aggregation

by RICHTARIK, Peter, SOKOLOV, Igor, FATKHULLIN, Ilyas, GASANOV, Elnur, LI, Zhize, GORBUNOV, Eduard
Published 2022