Delay-tolerant distributed Bregman proximal algorithms

Author:

Chraibi S.1,Iutzeler F.2,Malick J.2,Rogozin A.3

Affiliation:

1. LJK, Univ. Grenoble Alpes, Grenoble, France

2. CNRS, Grenoble INP, LJK, Univ. Grenoble Alpes, Grenoble, France

3. Moscow Institute of Physics and Technology, Moscow, Russia

Funder

MIAI Grenoble Alpes

Publisher

Informa UK Limited

Reference23 articles.

1. Interior Gradient and Proximal Methods for Convex and Conic Optimization

2. A. Aytekin H.R. Feyzmahdavian and M. Johansson Analysis and implementation of an asynchronous optimization algorithm for the parameter server preprint (2016). Available at arXiv:1610.05507.

3. W. Azizian F. Iutzeler J. Malick and P. Mertikopoulos The last-iterate convergence rate of optimistic mirror descent in stochastic variational inequalities in Conference on Learning Theory PMLR 2021 pp. 326–358.

4. A Descent Lemma Beyond Lipschitz Gradient Continuity: First-Order Methods Revisited and Applications

5. Legendre functions and the method of random bregman projections;Bauschke H.H.;J. Convex. Anal.,1997

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