Decentralized optimization with affine constraints over time-varying networks

DOI10.1007/s10287-023-00492-warXiv2307.01655OpenAlexW4389429207MaRDI QIDQ6149577

Unnamed Author, A. V. Gasnikov, Alexander Rogozin

Publication date: 6 February 2024

Published in: Computational Management Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2307.01655

zbMATH Keywords

convex optimizationdecentralized optimizationaffine constraintstime-varying networks

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Cites Work

• Introductory lectures on convex optimization. A basic course.
• Decentralized convex optimization under affine constraints for power systems control
• Distributed nonconvex constrained optimization over time-varying digraphs
• Parallel and Distributed Methods for Constrained Nonconvex Optimization—Part I: Theory
• A Proximal Dual Consensus ADMM Method for Multi-Agent Constrained Optimization
• Constrained Consensus and Optimization in Multi-Agent Networks
• A Distributed ADMM-like Method for Resource Sharing over Time-Varying Networks
• Distributed Smooth Convex Optimization With Coupled Constraints
• On Distributed Convex Optimization Under Inequality and Equality Constraints
• Distributed Optimization With Coupling Constraints
• Decentralized Strongly-Convex Optimization with Affine Constraints: Primal and Dual Approaches
• Towards accelerated rates for distributed optimization over time-varying networks

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