Cover Image

A Communication-Efficient Stochastic Gradient Descent Algorithm for Distributed Nonconvex Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xie, Antai, Yi, Xinlei, Wang, Xiaofan, Cao, Ming, Ren, Xiaoqiang
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

Differentially Private and Communication-Efficient Distributed Nonconvex Optimization Algorithms
by: Xie, Antai, et al.
Published: (2023)

Compressed Distributed Stochastic Nonconvex Optimization with Differential Privacy
by: Xie, Antai, et al.
Published: (2026)

Compressed Momentum-based Single-Point Zeroth-Order Algorithm for Stochastic Distributed Nonconvex Optimization
by: Chen, Linjing, et al.
Published: (2025)

A Communication-Efficient and Differentially-Private Distributed Generalized Nash Equilibrium Seeking Algorithm for Aggregative Games
by: Zhao, Wenqing, et al.
Published: (2025)

Compressed Zeroth-Order Algorithm for Stochastic Distributed Nonconvex Optimization
by: Wang, Haonan, et al.
Published: (2025)

Compressed Gradient Tracking Algorithms for Distributed Nonconvex Optimization
by: Xu, Lei, et al.
Published: (2023)

Communication-Efficient Distributed Online Nonconvex Optimization with Time-Varying Constraints
by: Zhang, Kunpeng, et al.
Published: (2025)

Distributed Constrained Online Nonconvex Optimization with Compressed Communication
by: Zhang, Kunpeng, et al.
Published: (2025)

Heterogeneous Distributed Zeroth-Order Nonconvex Optimization with Communication Compression
by: Wang, Haonan, et al.
Published: (2026)

Unified Compression Algorithm for Distributed Nonconvex Optimization: Generalized to 1-Bit, Saturation, and Bounded Noise
by: Wang, Haonan, et al.
Published: (2026)

Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
by: Lin, Tianyi, et al.
Published: (2024)

Quantized Distributed Nonconvex Optimization Algorithms with Linear Convergence under the Polyak--$Ł$ojasiewicz Condition
by: Xu, Lei, et al.
Published: (2022)

Using Stochastic Gradient Descent to Smooth Nonconvex Functions: Analysis of Implicit Graduated Optimization
by: Sato, Naoki, et al.
Published: (2023)

Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
by: Chen, Lesi, et al.
Published: (2023)

Efficient Single-Loop Stochastic Algorithms for Nonconvex-Concave Minimax Optimization
by: Jiang, Xia, et al.
Published: (2025)

Perturbed Gradient Descent via Convex Quadratic Approximation for Nonconvex Bilevel Optimization
by: Abolfazli, Nazanin, et al.
Published: (2025)

S-DIGing: A Stochastic Gradient Tracking Algorithm for Distributed Optimization
by: Li, Huaqing, et al.
Published: (2019)

Stochastic Gradient Descent for Constrained Optimization based on Adaptive Relaxed Barrier Functions
by: Dimitrieski, Naum, et al.
Published: (2025)

Generalized Stochastic Gradient Descent with Momentum Methods for Smooth Optimization
by: Wang, Zimeng, et al.
Published: (2026)

A Momentum-based Stochastic Algorithm for Linearly Constrained Nonconvex Optimization
by: Qiu, Chenyang, et al.
Published: (2026)

Efficient Gradient Tracking Algorithms for Distributed Optimization Problems with Inexact Communication
by: Zhao, Shengchao, et al.
Published: (2025)

An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
by: Chen, Lesi, et al.
Published: (2022)

Iterative Implicit Gradients for Nonconvex Optimization with Variational Inequality Constraints
by: Kaushik, Harshal D., et al.
Published: (2022)

Heterogeneous Stochastic Momentum ADMM for Distributed Nonconvex Composite Optimization
by: Zhang, Yangming, et al.
Published: (2026)

Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization
by: Liu, Wei, et al.
Published: (2025)

Perturbed Proximal Gradient ADMM for Nonconvex Composite Optimization
by: Zhou, Yuan, et al.
Published: (2025)

A Homogeneous Second-Order Descent Method for Nonconvex Optimization
by: Zhang, Chuwen, et al.
Published: (2022)

Zeroth-order Gradient and Quasi-Newton Methods for Nonsmooth Nonconvex Stochastic Optimization
by: Marrinan, Luke, et al.
Published: (2023)

Distributed Adaptive Gradient Algorithm with Gradient Tracking for Stochastic Non-Convex Optimization
by: Han, Dongyu, et al.
Published: (2024)

A Mixing-Accelerated Primal-Dual Proximal Algorithm for Distributed Nonconvex Optimization
by: Ou, Zichong, et al.
Published: (2023)

On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
by: Lin, Tianyi, et al.
Published: (2019)

Relationship between Batch Size and Number of Steps Needed for Nonconvex Optimization of Stochastic Gradient Descent using Armijo Line Search
by: Tsukada, Yuki, et al.
Published: (2023)

A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems
by: Zhang, Jiawei, et al.
Published: (2020)

High Probability Convergence of Distributed Clipped Stochastic Gradient Descent with Heavy-tailed Noise
by: Yang, Yuchen, et al.
Published: (2025)

A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization
by: Lu, Songtao
Published: (2022)

Distributed Nonconvex Optimization: Gradient-free Iterations and $ε$-Globally Optimal Solution
by: He, Zhiyu, et al.
Published: (2020)

A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems
by: Wang, Qingsong, et al.
Published: (2024)

Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
by: Zhang, Gavin, et al.
Published: (2025)

On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization
by: Zhou, Dongruo, et al.
Published: (2018)

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