Cover Image

Distributed accelerated proximal conjugate gradient methods for multi-agent constrained optimization problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Gebrie, Anteneh Getachew
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control 65K05, 90C52, 90C30, 47H05, 47H09
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Graph splitting methods: Fixed points and strong convergence for linear subspaces
by: Aragón-Artacho, Francisco J., et al.
Published: (2025)

Symplectic Extra-gradient Type Method for Solving General Non-monotone Inclusion Problem
by: Yuan, Ya-xiang, et al.
Published: (2024)

Fast Optimistic Gradient Descent Ascent (OGDA) method in continuous and discrete time
by: Bot, Radu Ioan, et al.
Published: (2022)

Understanding FISTA's weak convergence: A step-by-step introduction to the 2025 milestone
by: Bauschke, Heinz H., et al.
Published: (2026)

Splitting Algorithms for Distributionally Robust Optimization
by: Briceño-Arias, Luis, et al.
Published: (2024)

Splitting the Forward-Backward Algorithm: A Full Characterization
by: Åkerman, Anton, et al.
Published: (2025)

Baillon-Bruck-Reich revisited: divergent-series parameters and strong convergence in the linear case
by: Bartz, Sedi, et al.
Published: (2025)

On the optimal relaxation parameter of graph-based splitting methods for subspaces
by: Aragón-Artacho, Francisco J., et al.
Published: (2026)

Symplectic Discretization Approach for Developing New Proximal Point Algorithm
by: Yuan, Ya-xiang, et al.
Published: (2023)

On a result by Baillon, Bruck, and Reich
by: Bauschke, Heinz H., et al.
Published: (2024)

On Opial's Lemma
by: Arakcheev, Aleksandr, et al.
Published: (2025)

A proximal-gradient inertial algorithm with Tikhonov regularization: strong convergence to the minimal norm solution
by: László, Szilárd Csaba
Published: (2024)

Adaptive proximal gradient methods are universal without approximation
by: Oikonomidis, Konstantinos A., et al.
Published: (2024)

Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient
by: Latafat, Puya, et al.
Published: (2023)

On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms
by: Latafat, Puya, et al.
Published: (2023)

A robust regularized extreme learning machine for regression problems based on self-adaptive accelerated extra-gradient algorithm
by: Adegoke, Muideen, et al.
Published: (2024)

Strong Convergence of FISTA for Affinely Constrained Convex Quadratic Minimization
by: Bartz, Sedi, et al.
Published: (2026)

Relaxed and inertial nonlinear Forward-Backward algorithm
by: Maulén, Juan José, et al.
Published: (2025)

A Three-Operator Splitting Scheme Derived from Three-Block ADMM
by: Anshika, Anshika, et al.
Published: (2024)

Relaxed and Inertial Nonlinear Forward-Backward with Momentum
by: Roldán, Fernando, et al.
Published: (2024)

Forward Primal-Dual Half-Forward Algorithm for Splitting Four Operators
by: Roldán, Fernando
Published: (2023)

Boţ-Nguyen Acceleration, Weighted Mean Ergodic Iteration, and the Beta-Binomial Distribution
by: Bauschke, Heinz H., et al.
Published: (2026)

Nonlinear forward-backward-half forward splitting with momentum for monotone inclusions
by: Qin, Liqian, et al.
Published: (2025)

Nonlinear three-operator splitting algorithms with momentum for monotone inclusions
by: Qin, Liqian, et al.
Published: (2025)

A first-order augmented Lagrangian method for constrained minimax optimization
by: Lu, Zhaosong, et al.
Published: (2023)

A first-order method for nonconvex-strongly-concave constrained minimax optimization
by: Lu, Zhaosong, et al.
Published: (2025)

Linear Convergence of Resolvent Splitting with Minimal Lifting and its Application to a Primal-Dual Algorithm
by: Simi, Farhana A., et al.
Published: (2024)

New operator designs for Halpern iterations with explicit rates under Hölder error bounds
by: Barros, Pablo, et al.
Published: (2026)

An interior proximal gradient method for nonconvex optimization
by: De Marchi, Alberto, et al.
Published: (2022)

Forward-backward algorithms devised by graphs
by: Aragón-Artacho, Francisco J., et al.
Published: (2024)

Eckstein-Ferris-Pennanen-Robinson duality revisited: paramonotonicity, total Fenchel-Rockafellar duality, and the Chambolle-Pock operator
by: Bauschke, Heinz H., et al.
Published: (2024)

Optimality Conditions and Numerical Algorithms for a Class of Minimax Bilevel Optimization Problems
by: Hu, Yaling, et al.
Published: (2026)

On the Convergence of HalpernSGD
by: Colao, Vittorio, et al.
Published: (2026)

Spectral conjugate gradient projection methods for large-scale monotone equations without Lipschitz continuity
by: Hamiss, Kabenge, et al.
Published: (2026)

Tikhonov regularization of monotone operator flows not only ensures strong convergence of the trajectories but also speeds up the vanishing of the residuals
by: Bot, Radu Ioan, et al.
Published: (2024)

Level proximal subdifferential, variational convexity, and pointwise quadratic approximation
by: Luo, Honglin, et al.
Published: (2024)

Forward-Reflected-Backward and Shadow-Douglas--Rachford with partial inverse for Solving Monotone Inclusions
by: Roldán, Fernando
Published: (2023)

Partial Smoothness, Subdifferentials and Set-valued Operators
by: Qin, Ziqi, et al.
Published: (2025)

First-order penalty methods for bilevel optimization
by: Lu, Zhaosong, et al.
Published: (2023)

A Dual Method for Minimax Quadratic Programming
by: Ren, Wenhui, et al.
Published: (2025)