A distributed accelerated optimization algorithm over time‐varying directed graphs with uncoordinated step‐sizes
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Publication:6078638
DOI10.1002/oca.2886OpenAlexW4220780139MaRDI QIDQ6078638
No author found.
Publication date: 25 October 2023
Published in: Optimal Control Applications and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/oca.2886
linear convergencemulti-agent systemsdistributed optimizationheavy-ball methodtime-varying directed graphs
Convex programming (90C25) Directed graphs (digraphs), tournaments (05C20) Multi-agent systems (93A16) Networked control (93B70)
Cites Work
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Distributed multi-agent optimization with state-dependent communication
- Geometrical convergence rate for distributed optimization with time-varying directed graphs and uncoordinated step-sizes
- Online semi-supervised support vector machine
- Non-negative matrices and Markov chains.
- On the Convergence of Decentralized Gradient Descent
- A Second-Order Multi-Agent Network for Bound-Constrained Distributed Optimization
- Distributed Optimization Over Time-Varying Directed Graphs
- Analysis and Design of Optimization Algorithms via Integral Quadratic Constraints
- Distributed discrete‐time optimization algorithms with applications to resource allocation in epidemics control
- DEXTRA: A Fast Algorithm for Optimization Over Directed Graphs
- Distributed Subgradient Projection Algorithm Over Directed Graphs
- Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs
- Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data
- Optimization Algorithms for Predictive Control Approach to Networked Bilinear Systems
- Distributed estimation for spatial rigid motion based on dual quaternions
- Topology‐based distributed optimization for multi‐UAV cooperative wildfire monitoring
- Distributed Subgradient Methods for Multi-Agent Optimization
- A Geometrically Converging Dual Method for Distributed Optimization Over Time-Varying Graphs
- Distributed Heavy-Ball: A Generalization and Acceleration of First-Order Methods With Gradient Tracking
- EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization
- On the Convergence Rate of Incremental Aggregated Gradient Algorithms
- Strong consistency of random gradient‐free algorithms for distributed optimization
- ADD-OPT: Accelerated Distributed Directed Optimization
- Some methods of speeding up the convergence of iteration methods
- Decentralized Optimization Over Time-Varying Directed Graphs With Row and Column-Stochastic Matrices
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