A decentralized smoothing quadratic regularization algorithm for composite consensus optimization with non-Lipschitz singularities
From MaRDI portal
Publication:6126602
DOI10.1007/s11075-023-01650-6OpenAlexW4386442851MaRDI QIDQ6126602
No author found.
Publication date: 9 April 2024
Published in: Numerical Algorithms (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11075-023-01650-6
nonsmooth nonconvex optimizationdistributed optimizationdecentralized algorithmnon-Lipschitz singularities
Nonconvex programming, global optimization (90C26) Nonlinear programming (90C30) Numerical optimization and variational techniques (65K10) Numerical methods based on nonlinear programming (49M37)
Cites Work
- Unnamed Item
- Nearly unbiased variable selection under minimax concave penalty
- Smooth minimization of non-smooth functions
- Adaptive cubic regularisation methods for unconstrained optimization. I: Motivation, convergence and numerical results
- Adaptive cubic regularisation methods for unconstrained optimization. II: Worst-case function- and derivative-evaluation complexity
- Smoothing methods for nonsmooth, nonconvex minimization
- Complexity of unconstrained \(L_2 - L_p\) minimization
- On the Convergence of Decentralized Gradient Descent
- Worst-Case Complexity of Smoothing Quadratic Regularization Methods for Non-Lipschitzian Optimization
- Fast Distributed Gradient Methods
- Lower Bound Theory of Nonzero Entries in Solutions of $\ell_2$-$\ell_p$ Minimization
- On the Evaluation Complexity of Composite Function Minimization with Applications to Nonconvex Nonlinear Programming
- Distributed asynchronous deterministic and stochastic gradient optimization algorithms
- Decentralized Frank–Wolfe Algorithm for Convex and Nonconvex Problems
- Consensus in Ad Hoc WSNs With Noisy Links—Part I: Distributed Estimation of Deterministic Signals
- Distributed Sparse Linear Regression
- On the Linear Convergence of the ADMM in Decentralized Consensus Optimization
- Distributed Compressed Sensing for Static and Time-Varying Networks
- Multi-Agent Distributed Optimization via Inexact Consensus ADMM
- DLM: Decentralized Linearized Alternating Direction Method of Multipliers
- A Proximal Gradient Algorithm for Decentralized Composite Optimization
- Network Newton Distributed Optimization Methods
- On Nonconvex Decentralized Gradient Descent
- Harnessing Smoothness to Accelerate Distributed Optimization
- Fastest Mixing Markov Chain on a Graph
- On the Divergence of Decentralized Nonconvex Optimization
- Comments on «Wavelets in statistics: A review» by A. Antoniadis
- EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization
This page was built for publication: A decentralized smoothing quadratic regularization algorithm for composite consensus optimization with non-Lipschitz singularities