Communication efficient quasi-Newton distributed optimization based on the Douglas-Rachford envelope
Fuente:
arXiv
Saved in:
| Main Authors: | Yi, Dingran, Freris, Nikolaos M. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Curvature accelerated decentralized non-convex optimization for high-dimensional machine learning problems
by: Yi, Dingran, et al.
Published: (2025)
by: Yi, Dingran, et al.
Published: (2025)
Douglas--Rachford for multioperator comonotone inclusions with applications to multiblock optimization
by: Alcantara, Jan Harold, et al.
Published: (2025)
by: Alcantara, Jan Harold, et al.
Published: (2025)
Randomized Douglas-Rachford methods for linear systems: Improved accuracy and efficiency
by: Han, Deren, et al.
Published: (2022)
by: Han, Deren, et al.
Published: (2022)
Extending Douglas-Rachford Splitting for Convex Optimization
by: Nilsson, Max, et al.
Published: (2025)
by: Nilsson, Max, et al.
Published: (2025)
On the convergence rate of the Douglas-Rachford splitting algorithm
by: Abbaszadehpeivasti, Hadi, et al.
Published: (2025)
by: Abbaszadehpeivasti, Hadi, et al.
Published: (2025)
Bregman Douglas-Rachford Splitting Method
by: Ma, Shiqian, et al.
Published: (2025)
by: Ma, Shiqian, et al.
Published: (2025)
Accelerated forward-backward and Douglas-Rachford splitting dynamics
by: Ozaslan, Ibrahim K., et al.
Published: (2024)
by: Ozaslan, Ibrahim K., et al.
Published: (2024)
Douglas-Rachford splitting algorithm for projected solution of quasi variational inequality with non-self constraint map
by: Ramazannejad, Maede
Published: (2024)
by: Ramazannejad, Maede
Published: (2024)
Best Approximation Optimal Control for Infeasible Double Integrator and Douglas--Rachford Algorithm
by: Burachik, Regina S., et al.
Published: (2026)
by: Burachik, Regina S., et al.
Published: (2026)
Douglas-Rachford Algorithm for Control- and State-constrained Optimal Control Problems
by: Burachik, Regina S., et al.
Published: (2024)
by: Burachik, Regina S., et al.
Published: (2024)
Efficient Douglas-Rachford Methods on Hadamard Manifolds with Applications to the Heron Problems
by: Sahu, D. R., et al.
Published: (2025)
by: Sahu, D. R., et al.
Published: (2025)
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting
by: Xiong, Jinxin, et al.
Published: (2025)
by: Xiong, Jinxin, et al.
Published: (2025)
Exact worst-case convergence rates for Douglas--Rachford and Davis--Yin splitting methods
by: Nguyen, Edward Duc Hien, et al.
Published: (2025)
by: Nguyen, Edward Duc Hien, et al.
Published: (2025)
Douglas-Rachford splitting and ADMM for nonconvex optimization: Accelerated and Newton-type linesearch algorithms
by: Themelis, Andreas, et al.
Published: (2020)
by: Themelis, Andreas, et al.
Published: (2020)
Doubly relaxed forward-Douglas--Rachford splitting for the sum of two nonconvex and a DC function
by: Dao, Minh N., et al.
Published: (2024)
by: Dao, Minh N., et al.
Published: (2024)
A Douglas-Rachford Splitting Method for Solving Monotone Variational Inequalities in Linear-quadratic Dynamic Games
by: Baghbadorani, Reza Rahimi, et al.
Published: (2025)
by: Baghbadorani, Reza Rahimi, et al.
Published: (2025)
A stochastic preconditioned Douglas-Rachford splitting method for saddle-point problems
by: Dong, Yakun, et al.
Published: (2022)
by: Dong, Yakun, et al.
Published: (2022)
Understanding the Douglas-Rachford splitting method through the lenses of Moreau-type envelopes
by: Atenas, Felipe
Published: (2023)
by: Atenas, Felipe
Published: (2023)
Douglas--Rachford algorithm for nonmonotone multioperator inclusion problems
by: Alcantara, Jan Harold, et al.
Published: (2025)
by: Alcantara, Jan Harold, et al.
Published: (2025)
A restricted memory quasi-Newton bundle method for nonsmooth optimization on Riemannian manifolds
by: Tang, Chunming, et al.
Published: (2024)
by: Tang, Chunming, et al.
Published: (2024)
HBNET-GIANT: A communication-efficient accelerated Newton-type fully distributed optimization algorithm
by: Das, Souvik, et al.
Published: (2025)
by: Das, Souvik, et al.
Published: (2025)
The Influence of an Adjoint Mismatch on the Primal-Dual Douglas-Rachford Method
by: Naldi, Emanuele, et al.
Published: (2025)
by: Naldi, Emanuele, et al.
Published: (2025)
CoNeT-GIANT: A compressed Newton-type fully distributed optimization algorithm
by: Das, Souvik, et al.
Published: (2025)
by: Das, Souvik, et al.
Published: (2025)
On the Douglas-Rachford and Peaceman-Rachford algorithms in the presence of uniform monotonicity and the absence of minimizers
by: Burachik, Regina S., et al.
Published: (2022)
by: Burachik, Regina S., et al.
Published: (2022)
Optimal Leveraging of Smoothness and Strong Convexity for Peaceman--Rachford Splitting
by: Briceño-Arias, Luis, et al.
Published: (2026)
by: Briceño-Arias, Luis, et al.
Published: (2026)
A distributed semismooth Newton based augmented Lagrangian method for distributed optimization
by: Ma, Qihao, et al.
Published: (2026)
by: Ma, Qihao, et al.
Published: (2026)
An Adaptive Cubic Regularization quasi-Newton Method on Riemannian Manifolds
by: Louzeiro, Mauricio S., et al.
Published: (2024)
by: Louzeiro, Mauricio S., et al.
Published: (2024)
Douglas--Rachford algorithm for control-constrained minimum-energy control problems
by: Burachik, Regina S., et al.
Published: (2022)
by: Burachik, Regina S., et al.
Published: (2022)
On indication, strict monotonicity, and efficiency of projections in a general class of path-based data envelopment models
by: Halická, Margaréta, et al.
Published: (2023)
by: Halická, Margaréta, et al.
Published: (2023)
Convergence rates of regularized quasi-Newton methods without strong convexity
by: Wang, Shida, et al.
Published: (2025)
by: Wang, Shida, et al.
Published: (2025)
A unified framework for inexact adaptive stepsizes in the gradient methods, the conjugate gradient methods and the quasi-Newton methods for strictly convex quadratic optimization
by: Liu, Zexian
Published: (2026)
by: Liu, Zexian
Published: (2026)
Operating envelopes for the grid-constrained use of distributed flexibility in balancing markets
by: Kaushal, Abhimanyu, et al.
Published: (2024)
by: Kaushal, Abhimanyu, et al.
Published: (2024)
An efficient primal dual semismooth Newton method for semidefinite programming
by: Deng, Zhanwang, et al.
Published: (2025)
by: Deng, Zhanwang, et al.
Published: (2025)
qNBO: quasi-Newton Meets Bilevel Optimization
by: Fang, Sheng, et al.
Published: (2025)
by: Fang, Sheng, et al.
Published: (2025)
Riemannian EXTRA: Communication-efficient decentralized optimization over compact submanifolds with data heterogeneity
by: Wu, Jiayuan, et al.
Published: (2025)
by: Wu, Jiayuan, et al.
Published: (2025)
A distributed Douglas-Rachford splitting method for solving linear constrained multi-block weakly convex problems
by: Hu, Leyu, et al.
Published: (2024)
by: Hu, Leyu, et al.
Published: (2024)
On quasi-convex smooth optimization problems by a comparison oracle
by: Gasnikov, A. V., et al.
Published: (2024)
by: Gasnikov, A. V., et al.
Published: (2024)
Resolvent Moreau identities without monotonicity: theory and applications to Gabay duality, Douglas--Rachford and ADMM
by: Calcan, Andrew, et al.
Published: (2026)
by: Calcan, Andrew, et al.
Published: (2026)
Distributed Optimization over Lossy Networks via Relaxed Peaceman-Rachford Splitting: a Robust ADMM Approach
by: Bastianello, Nicola, et al.
Published: (2018)
by: Bastianello, Nicola, et al.
Published: (2018)
An inexact $q$-order regularized proximal Newton method for nonconvex composite optimization
by: Liu, Ruyu, et al.
Published: (2023)
by: Liu, Ruyu, et al.
Published: (2023)
Similar Items
-
Curvature accelerated decentralized non-convex optimization for high-dimensional machine learning problems
by: Yi, Dingran, et al.
Published: (2025) -
Douglas--Rachford for multioperator comonotone inclusions with applications to multiblock optimization
by: Alcantara, Jan Harold, et al.
Published: (2025) -
Randomized Douglas-Rachford methods for linear systems: Improved accuracy and efficiency
by: Han, Deren, et al.
Published: (2022) -
Extending Douglas-Rachford Splitting for Convex Optimization
by: Nilsson, Max, et al.
Published: (2025) -
On the convergence rate of the Douglas-Rachford splitting algorithm
by: Abbaszadehpeivasti, Hadi, et al.
Published: (2025)