Distributed constrained optimization algorithms with linear convergence rate over time-varying unbalanced graphs
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Publication:6537301
DOI10.1016/j.automatica.2023.111346zbMATH Open1546.90138MaRDI QIDQ6537301
Angelia Nedic, Wei Xing Zheng, Wenwu Yu, Hongzhe Liu, Ya-Nan Zhu
Publication date: 14 May 2024
Published in: Automatica (Search for Journal in Brave)
constrained convex optimizationlinear convergence ratedistributed discrete-time algorithmtime-varying unbalanced graphs
Cites Work
- Unnamed Item
- Distributed constrained optimal consensus of multi-agent systems
- Distributed convex optimization via continuous-time coordination algorithms with discrete-time communication
- Distributed optimization over directed graphs with row stochasticity and constraint regularity
- Exponential convergence of distributed primal-dual convex optimization algorithm without strong convexity
- Distributed discrete-time convex optimization with nonidentical local constraints over time-varying unbalanced directed graphs
- On the Learning Behavior of Adaptive Networks—Part I: Transient Analysis
- On the Learning Behavior of Adaptive Networks—Part II: Performance Analysis
- A Second-Order Multi-Agent Network for Bound-Constrained Distributed Optimization
- Distributed Optimization Over Time-Varying Directed Graphs
- Distributed Continuous-Time Convex Optimization on Weight-Balanced Digraphs
- Linear Convergence in Optimization Over Directed Graphs With Row-Stochastic Matrices
- Distributed Subgradient Projection Algorithm Over Directed Graphs
- Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs
- Harnessing Smoothness to Accelerate Distributed Optimization
- Distributed Subgradient Methods for Multi-Agent Optimization
- Constrained Consensus and Optimization in Multi-Agent Networks
- Variance-Reduced Decentralized Stochastic Optimization With Accelerated Convergence
- Dual Averaging Push for Distributed Convex Optimization Over Time-Varying Directed Graph
- Second-Order Guarantees of Distributed Gradient Algorithms
- Distributed Continuous-Time Optimization: Nonuniform Gradient Gains, Finite-Time Convergence, and Convex Constraint Set
- On Distributed Convex Optimization Under Inequality and Equality Constraints
- Reaching an Optimal Consensus: Dynamical Systems That Compute Intersections of Convex Sets
- A Multi-Agent System With a Proportional-Integral Protocol for Distributed Constrained Optimization
- Decentralized Optimization Over Time-Varying Directed Graphs With Row and Column-Stochastic Matrices
- Push–Pull Gradient Methods for Distributed Optimization in Networks
- Distributed Discrete-Time Algorithms for Convex Optimization With General Local Constraints on Weight-Unbalanced Digraph
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