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An Accelerated Method For Decentralized Distributed Stochastic Optimization Over Time-Varying Graphs

  • Published:2021-12-14 Issue: Volume: Page:
  • ISSN:
  • Container-title:2021 60th IEEE Conference on Decision and Control (CDC)
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Author:

Rogozin Alexander1,Bochko Mikhail1,Dvurechensky Pavel2,Gasnikov Alexander3,Lukoshkin Vladislav4

Affiliation:

1. Moscow Institute of Physics and Technology and HSE University,Russian Federation

2. Weierstrass Institute for Applied Analysis and Stochastics,Germany

3. Institute for Information Transmission Problems RAS, HSE University,Moscow Institute of Physics and Technology,Russian Federation

4. Skolkovo Institute of Science and Technology,Russia

Funder

Ministry of Science and Higher Education of the Russian Federation

Publisher

IEEE

Reference70 articles.

1. Accelerated Meta-Algorithm for Convex Optimization Problems

2. Accelerated Distributed Nesterov Gradient Descent for smooth and strongly convex functions

3. Projected gradient method for decentralized optimization over time-varying networks;rogozin;arXiv 1911 08527,2019

4. On Primal and Dual Approaches for Distributed Stochastic Convex Optimization over Networks

5. Robust distributed accelerated stochastic gradient methods for multiagent networks;fallah;arXiv preprint arXiv 1910 01500,2019

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