Decentralized saddle point problems via non-Euclidean mirror prox-Reference-Cited by-同舟云学术

Decentralized saddle point problems via non-Euclidean mirror prox

Author:

Rogozin Alexander¹²^ORCID,Beznosikov Aleksandr¹²^ORCID,Dvinskikh Darina²^ORCID,Kovalev Dmitry³,Dvurechensky Pavel⁴^ORCID,Gasnikov Alexander¹²⁵^ORCID

Affiliation:

1. Laboratory for Mathematical Optimization Methods, Moscow Institute of Physics and Technology, Moscow, Russia

2. nternational Laboratory for Stochastic Algorithms and Multidimensional Data Analysis, HSE University, Moscow, Russia

3. Extreme Computing Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

4. Research Group Stochastic Algorithms and Nonparametric Statistics, Weierstrass Institute for Applied Analysis and Statistics, Berlin, Germany

5. Laboratory for Mathematical Methods for Predictive Modeling, IITP RAS, Moscow, Russia

Funder

Analytical Center for the Government of the Russian Federation

Moscow Institute of Physics and Technology

Publisher

Informa UK Limited

Link

Reference59 articles.

1. Communication complexity of distributed convex learning and optimization;Arjevani Y.;Adv. Neural Inf,2015

2. Lecture notes;Auzinger W.,2011

4. F. Bach J. Mairal and J. Ponce Convex sparse matrix factorizations (2008). arXiv preprint arXiv:0812.1869.

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