Distributed composite optimization for multi-agent systems with asynchrony
From MaRDI portal
Publication:2094068
DOI10.1007/978-3-030-99776-2_7zbMath1500.93003OpenAlexW4293173690MaRDI QIDQ2094068
Liang Ran, Zheng Wang, Huaqing Li, Tingwen Huang, Qingguo Lü, Jinhui Hu, Zhenyuan Du
Publication date: 28 October 2022
Full work available at URL: https://doi.org/10.1007/978-3-030-99776-2_7
convex optimizationdecentralized learningdecentralized energy resource coordinationdual proximal gradientsrandomized block-coordinated methods
Uses Software
Cites Work
- Unnamed Item
- A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization
- Event-Triggering Sampling Based Leader-Following Consensus in Second-Order Multi-Agent Systems
- A Proximal Gradient Algorithm for Decentralized Composite Optimization
- Distributed Subgradient Projection Algorithm Over Directed Graphs
- Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs
- Stochastic Proximal Gradient Consensus Over Random Networks
- A Coordinate-Descent Primal-Dual Algorithm with Large Step Size and Possibly Nonseparable Functions
- Constrained Consensus and Optimization in Multi-Agent Networks
- Decentralized Proximal Gradient Algorithms With Linear Convergence Rates
- Distributed Dual Gradient Tracking for Resource Allocation in Unbalanced Networks
- Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis
- AsySPA: An Exact Asynchronous Algorithm for Convex Optimization Over Digraphs
- A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization
- Distributed Energy Resource Coordination Over Time-Varying Directed Communication Networks
- A Decentralized Proximal-Gradient Method With Network Independent Step-Sizes and Separated Convergence Rates
- EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization
- Asynchronous Distributed Optimization Via Randomized Dual Proximal Gradient
- Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization
- Convex analysis and monotone operator theory in Hilbert spaces
This page was built for publication: Distributed composite optimization for multi-agent systems with asynchrony
