Cover Image

Adaptive Stepsize Selection in Decentralized Convex Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kuruzov, Ilya, Chen, Xiaokai, Scutari, Gesualdo, Gasnikov, Alexander
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Parameter-free Decentralized Algorithm for Composite Convex Optimization
by: Chen, Xiaokai, et al.
Published: (2025)

A Line-search-free Method for Adaptive Decentralized Optimization
by: Chen, Xiaokai, et al.
Published: (2026)

Adaptive Decentralized Composite Optimization via Three-Operator Splitting
by: Chen, Xiaokai, et al.
Published: (2026)

DCatalyst: A Unified Accelerated Framework for Decentralized Optimization
by: Cao, Tianyu, et al.
Published: (2025)

Enhancing Convergence of Decentralized Gradient Tracking under the KL Property
by: Chen, Xiaokai, et al.
Published: (2024)

Gradient-Type Methods For Decentralized Optimization Problems With Polyak-Łojasiewicz Condition Over Time-Varying Networks
by: Kuruzov, Ilya, et al.
Published: (2022)

The Mirror-Prox Sliding Method for Non-smooth decentralized saddle-point problems
by: Kuruzov, Ilya, et al.
Published: (2022)

Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks
by: Divilkovskiy, Maxim, et al.
Published: (2025)

On Some Versions of Subspace Optimization Methods with Inexact Gradient Information
by: Kuruzov, Ilya, et al.
Published: (2024)

Decentralized Sparse Linear Regression via Gradient-Tracking: Linear Convergence and Statistical Guarantees
by: Maros, Marie, et al.
Published: (2022)

Adaptive Algorithms for Relatively Lipschitz Continuous Convex Optimization Problems
by: Stonyakin, Fedor, et al.
Published: (2021)

Power of Generalized Smoothness in Stochastic Convex Optimization: First- and Zero-Order Algorithms
by: Lobanov, Aleksandr, et al.
Published: (2025)

Acceleration by Stepsize Hedging II: Silver Stepsize Schedule for Smooth Convex Optimization
by: Altschuler, Jason M., et al.
Published: (2023)

Decentralized Optimization with Mixed Affine Constraints
by: Yarmoshik, Demyan, et al.
Published: (2026)

Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks
by: Kovalev, Dmitry, et al.
Published: (2024)

Dual Smoothing for Decentralized Optimization
by: Rogozin, Alexander, et al.
Published: (2025)

Decentralized Optimization with Coupled Constraints
by: Yarmoshik, Demyan, et al.
Published: (2024)

Simple Stepsize for Quasi-Newton Methods with Global Convergence Guarantees
by: Agafonov, Artem, et al.
Published: (2025)

Decentralized Finite-Sum Optimization over Time-Varying Networks
by: Metelev, Dmitry, et al.
Published: (2024)

Adaptive Polyak Stepsize with Level-value Adjustment for Distributed Optimization
by: Ouyang, Chen, et al.
Published: (2026)

A Parameter-Free Zeroth-Order Algorithm for Decentralized Stochastic Convex Optimization
by: Chen, Jiawei, et al.
Published: (2026)

Distributed Optimization and Learning for Automated Stepsize Selection with Finite Time Coordination
by: Rikos, Apostolos I., et al.
Published: (2025)

Accelerated Zero-Order SGD Method for Solving the Black Box Optimization Problem under "Overparametrization" Condition
by: Lobanov, Aleksandr, et al.
Published: (2023)

Variance Reduced Distributed Non-Convex Optimization Using Matrix Stepsizes
by: Li, Hanmin, et al.
Published: (2023)

AdGT: Decentralized Gradient Tracking with Tuning-free Per-Agent Stepsize
by: Ghaderyan, Diyako, et al.
Published: (2025)

Decentralized Distributed Optimization for Saddle Point Problems
by: Rogozin, Alexander, et al.
Published: (2021)

Linear Convergence Rate in Convex Setup is Possible! Gradient Descent Method Variants under $(L_0,L_1)$-Smoothness
by: Lobanov, Aleksandr, et al.
Published: (2024)

Optimal Decentralized Composite Optimization for Convex Functions
by: Ye, Haishan, et al.
Published: (2023)

Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization
by: Li, Hanmin, et al.
Published: (2023)

Decentralized Inexact Cubic Newton Method with Consensus Procedure
by: Agafonov, Artem, et al.
Published: (2026)

Median Clipping for Zeroth-order Non-Smooth Convex Optimization and Multi-Armed Bandit Problem with Heavy-tailed Symmetric Noise
by: Kornilov, Nikita, et al.
Published: (2024)

Generalization of Silver Stepsize Schedule to Stochastic Optimization
by: Bai, Luwei, et al.
Published: (2025)

Composing Optimized Stepsize Schedules for Gradient Descent
by: Grimmer, Benjamin, et al.
Published: (2024)

Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values
by: Lobanov, Aleksandr, et al.
Published: (2024)

The Black-Box Optimization Problem: Zero-Order Accelerated Stochastic Method via Kernel Approximation
by: Lobanov, Aleksandr, et al.
Published: (2023)

A New Decomposition Paradigm for Graph-structured Nonlinear Programs via Message Passing
by: Ding, Kuangyu, et al.
Published: (2025)

Lower and upper bounds of the convergence rate of gradient methods with composite noise in gradient
by: Vasin, Artem, et al.
Published: (2026)

On quasi-convex smooth optimization problems by a comparison oracle
by: Gasnikov, A. V., et al.
Published: (2024)

Sign Operator for Coping with Heavy-Tailed Noise in Non-Convex Optimization: High Probability Bounds Under $(L_0, L_1)$-Smoothness
by: Kornilov, Nikita, et al.
Published: (2025)

Norm-Constrained Flows and Sign-Based Optimization: Theory and Algorithms
by: Leplat, Valentin, et al.
Published: (2025)