Linear convergence rate analysis of a class of exact first-order distributed methods for weight-balanced time-varying networks and uncoordinated step sizes
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Publication:6124344
DOI10.1007/s11590-023-02011-xarXiv2007.08837OpenAlexW4379536859MaRDI QIDQ6124344
Greta Malaspina, Nataša Krejić, Dušan Jakovetić
Publication date: 27 March 2024
Published in: Optimization Letters (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2007.08837
Cites Work
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Adaptive inexact fast augmented Lagrangian methods for constrained convex optimization
- Stochastic mirror descent method for distributed multi-agent optimization
- Exact spectral-like gradient method for distributed optimization
- A family of spectral gradient methods for optimization
- On the steplength selection in gradient methods for unconstrained optimization
- Distributed nonconvex constrained optimization over time-varying digraphs
- R-linear convergence of the Barzilai and Borwein gradient method
- Distributed Optimization With Local Domains: Applications in MPC and Network Flows
- Fast Distributed Gradient Methods
- The Barzilai and Borwein Gradient Method for the Large Scale Unconstrained Minimization Problem
- Two-Point Step Size Gradient Methods
- Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs
- Exact Diffusion for Distributed Optimization and Learning—Part I: Algorithm Development
- Decentralized Proximal Gradient Algorithms With Linear Convergence Rates
- Distributed Heavy-Ball: A Generalization and Acceleration of First-Order Methods With Gradient Tracking
- EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization
- Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication
- Newton-like Method with Diagonal Correction for Distributed Optimization
- On the Barzilai and Borwein choice of steplength for the gradient method
- Feedback Systems
- Decentralized Optimization Over Time-Varying Directed Graphs With Row and Column-Stochastic Matrices
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