Cover Image

A Mathematics-Inspired Learning-to-Optimize Framework for Decentralized Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	He, Yutong, Shang, Qiulin, Huang, Xinmeng, Liu, Jialin, Yuan, Kun
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unbiased Compression Saves Communication in Distributed Optimization: When and How Much?
by: He, Yutong, et al.
Published: (2023)

Understanding the Influence of Digraphs on Decentralized Optimization: Effective Metrics, Lower Bound, and Optimal Algorithm
by: Liang, Liyuan, et al.
Published: (2023)

SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
by: Zhu, Shuchen, et al.
Published: (2024)

Distributed Bilevel Optimization with Communication Compression
by: He, Yutong, et al.
Published: (2024)

Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity
by: Kong, Boao, et al.
Published: (2024)

Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression
by: He, Yutong, et al.
Published: (2023)

Decentralized Min-Max Optimization with Gradient Tracking
by: You, Runze, et al.
Published: (2025)

Decentralized Optimization over Time-Varying Row-Stochastic Digraphs
by: Liang, Liyuan, et al.
Published: (2025)

On the Linear Speedup of the Push-Pull Method for Decentralized Optimization over Digraphs
by: Liang, Liyuan, et al.
Published: (2025)

Momentum Benefits Non-IID Federated Learning Simply and Provably
by: Cheng, Ziheng, et al.
Published: (2023)

Subspace Optimization for Large Language Models with Convergence Guarantees
by: He, Yutong, et al.
Published: (2024)

Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-stochastic Networks
by: Liang, Liyuan, et al.
Published: (2025)

NPGA: A Unified Algorithmic Framework for Decentralized Constraint-Coupled Optimization
by: Li, Jingwang, et al.
Published: (2022)

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

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

Communication-Efficient Decentralized Optimization via Double-Communication Symmetric ADMM
by: Huang, Jinrui, et al.
Published: (2025)

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

A Multi-Objective Optimization framework for Decentralized Learning with coordination constraints
by: Morales, Roberto, et al.
Published: (2025)

SUN-DSBO: A Structured Unified Framework for Nonconvex Decentralized Stochastic Bilevel Optimization
by: Ma, Yaoshuai, et al.
Published: (2026)

Decentralized Feedback Optimization via Sensitivity Decoupling: Stability and Sub-optimality
by: Wang, Wenbin, et al.
Published: (2023)

Decentralized Sum-of-Nonconvex Optimization
by: Liu, Zhuanghua, et al.
Published: (2024)

Optimal Gradient Tracking for Decentralized Optimization
by: Song, Zhuoqing, et al.
Published: (2021)

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

A Two-timescale Primal-dual Algorithm for Decentralized Optimization with Compression
by: Liu, Haoming, et al.
Published: (2025)

A Unified Algorithm for Nonconvex Decentralized Nonlinear Optimization
by: Wu, Hao, et al.
Published: (2025)

A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds
by: Wang, Lei, et al.
Published: (2024)

Graph-Aware Learning Rates for Decentralized Optimization
by: Fainman, Aaron, et al.
Published: (2025)

Globally-Constrained Decentralized Optimization with Variable Coupling
by: Wang, Dandan, et al.
Published: (2024)

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

Adaptive Stepsize Selection in Decentralized Convex Optimization
by: Kuruzov, Ilya, et al.
Published: (2025)

Stochastic Push-Pull for Decentralized Nonconvex Optimization
by: You, Runze, et al.
Published: (2025)

Distributed and Decentralized Optimization Algorithms via Consensus ALADIN
by: Du, Xu, et al.
Published: (2026)

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)

On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization
by: Tyurin, Alexander, et al.
Published: (2024)

Decentralized Relaxed Smooth Optimization with Gradient Descent Methods
by: Jiang, Zhanhong, et al.
Published: (2025)

Improved Convergence for Decentralized Stochastic Optimization with Biased Gradients
by: Xu, Qing, et al.
Published: (2026)

Guaranteeing Both Consensus and Optimality in Decentralized Nonconvex Optimization with Multiple Local Updates
by: Liu, Jie, et al.
Published: (2025)

Historical Information Accelerates Decentralized Optimization: A Proximal Bundle Method
by: Zhu, Zhao, et al.
Published: (2025)

Accelerated Decentralized Constraint-Coupled Optimization: A Dual$^2$ Approach
by: Li, Jingwang, et al.
Published: (2025)