Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Wei, Panda, Anweshit, Pandey, Ujwal, Brissette, Christopher, Shen, Yikang, Slota, George M., Wang, Naigang, Chen, Jie, Xu, Yangyang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LoDAdaC: a unified local training-based decentralized framework with adaptive gradients and compressed communication
by: Liu, Wei, et al.
Published: (2026)
by: Liu, Wei, et al.
Published: (2026)
A Robust Compressed Push-Pull Method for Decentralized Nonconvex Optimization
by: Liao, Yiwei, et al.
Published: (2024)
by: Liao, Yiwei, et al.
Published: (2024)
Heterogeneous Stochastic Momentum ADMM for Distributed Nonconvex Composite Optimization
by: Zhang, Yangming, et al.
Published: (2026)
by: Zhang, Yangming, et al.
Published: (2026)
Stochastic Push-Pull for Decentralized Nonconvex Optimization
by: You, Runze, et al.
Published: (2025)
by: You, Runze, et al.
Published: (2025)
Compressed Momentum-based Single-Point Zeroth-Order Algorithm for Stochastic Distributed Nonconvex Optimization
by: Chen, Linjing, et al.
Published: (2025)
by: Chen, Linjing, et al.
Published: (2025)
Compressed Gradient Tracking Algorithms for Distributed Nonconvex Optimization
by: Xu, Lei, et al.
Published: (2023)
by: Xu, Lei, et al.
Published: (2023)
A Momentum-based Stochastic Algorithm for Linearly Constrained Nonconvex Optimization
by: Qiu, Chenyang, et al.
Published: (2026)
by: Qiu, Chenyang, et al.
Published: (2026)
Generalized Stochastic Gradient Descent with Momentum Methods for Smooth Optimization
by: Wang, Zimeng, et al.
Published: (2026)
by: Wang, Zimeng, et al.
Published: (2026)
Zeroth-order Gradient and Quasi-Newton Methods for Nonsmooth Nonconvex Stochastic Optimization
by: Marrinan, Luke, et al.
Published: (2023)
by: Marrinan, Luke, et al.
Published: (2023)
Compressed Distributed Stochastic Nonconvex Optimization with Differential Privacy
by: Xie, Antai, et al.
Published: (2026)
by: Xie, Antai, et al.
Published: (2026)
SUN-DSBO: A Structured Unified Framework for Nonconvex Decentralized Stochastic Bilevel Optimization
by: Ma, Yaoshuai, et al.
Published: (2026)
by: Ma, Yaoshuai, et al.
Published: (2026)
Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum
by: Zhou, Yuan, et al.
Published: (2025)
by: Zhou, Yuan, et al.
Published: (2025)
Decentralized Stochastic Nonconvex Optimization under the Relaxed Smoothness
by: Luo, Luo, et al.
Published: (2025)
by: Luo, Luo, et al.
Published: (2025)
Compressed Zeroth-Order Algorithm for Stochastic Distributed Nonconvex Optimization
by: Wang, Haonan, et al.
Published: (2025)
by: Wang, Haonan, et al.
Published: (2025)
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
by: Chen, Lesi, et al.
Published: (2023)
by: Chen, Lesi, et al.
Published: (2023)
Stochastic Momentum Tracking Push-Pull for Decentralized Optimization over Directed Graphs
by: Fan, Wenqi, et al.
Published: (2026)
by: Fan, Wenqi, et al.
Published: (2026)
Improved Convergence for Decentralized Stochastic Optimization with Biased Gradients
by: Xu, Qing, et al.
Published: (2026)
by: Xu, Qing, et al.
Published: (2026)
Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis
by: Oikonomidis, Konstantinos, et al.
Published: (2025)
by: Oikonomidis, Konstantinos, et al.
Published: (2025)
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization
by: Zhang, Xuan, et al.
Published: (2023)
by: Zhang, Xuan, et al.
Published: (2023)
Convergence of Decentralized Stochastic Subgradient-based Methods for Nonsmooth Nonconvex functions
by: Zhang, Siyuan, et al.
Published: (2024)
by: Zhang, Siyuan, et al.
Published: (2024)
Neighbor-Sampling Based Momentum Stochastic Methods for Training Graph Neural Networks
by: Noel, Molly, et al.
Published: (2025)
by: Noel, Molly, et al.
Published: (2025)
A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems
by: Wang, Qingsong, et al.
Published: (2024)
by: Wang, Qingsong, et al.
Published: (2024)
Guaranteeing Both Consensus and Optimality in Decentralized Nonconvex Optimization with Multiple Local Updates
by: Liu, Jie, et al.
Published: (2025)
by: Liu, Jie, et al.
Published: (2025)
Faster Newton Methods for Convex and Nonconvex Optimization in Gradient Complexity
by: Chen, Lesi, et al.
Published: (2025)
by: Chen, Lesi, et al.
Published: (2025)
A Simple Adaptive Proximal Gradient Method for Nonconvex Optimization
by: Ye, Zilong, et al.
Published: (2025)
by: Ye, Zilong, et al.
Published: (2025)
Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization
by: Li, Jiaxiang, et al.
Published: (2024)
by: Li, Jiaxiang, et al.
Published: (2024)
Near-Optimal Decentralized Stochastic Nonconvex Optimization with Heavy-Tailed Noise
by: Wang, Menglian, et al.
Published: (2026)
by: Wang, Menglian, et al.
Published: (2026)
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
by: Chen, Lesi, et al.
Published: (2022)
by: Chen, Lesi, et al.
Published: (2022)
Stochastic Bregman Subgradient Methods for Nonsmooth Nonconvex Optimization Problems
by: Ding, Kuangyu, et al.
Published: (2024)
by: Ding, Kuangyu, et al.
Published: (2024)
A Communication-Efficient Stochastic Gradient Descent Algorithm for Distributed Nonconvex Optimization
by: Xie, Antai, et al.
Published: (2024)
by: Xie, Antai, et al.
Published: (2024)
Decentralized Sum-of-Nonconvex Optimization
by: Liu, Zhuanghua, et al.
Published: (2024)
by: Liu, Zhuanghua, et al.
Published: (2024)
On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization
by: Zhou, Dongruo, et al.
Published: (2018)
by: Zhou, Dongruo, et al.
Published: (2018)
Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
by: Sahinoglu, Emre, et al.
Published: (2024)
by: Sahinoglu, Emre, et al.
Published: (2024)
Methods of Nonconvex Optimization
by: Mikhalevich, V. S., et al.
Published: (2024)
by: Mikhalevich, V. S., et al.
Published: (2024)
Trust Region Methods For Nonconvex Stochastic Optimization Beyond Lipschitz Smoothness
by: Xie, Chenghan, et al.
Published: (2023)
by: Xie, Chenghan, et al.
Published: (2023)
Adaptive Regularization within Trust Region Methods for Stochastic Nonconvex Optimization
by: Ha, Yunsoo, et al.
Published: (2026)
by: Ha, Yunsoo, et al.
Published: (2026)
Distributed Constrained Online Nonconvex Optimization with Compressed Communication
by: Zhang, Kunpeng, et al.
Published: (2025)
by: Zhang, Kunpeng, et al.
Published: (2025)
A Unified Algorithm for Nonconvex Decentralized Nonlinear Optimization
by: Wu, Hao, et al.
Published: (2025)
by: Wu, Hao, et al.
Published: (2025)
Adaptive Lipschitz-Free Conditional Gradient Methods for Stochastic Composite Nonconvex Optimization
by: Yuan, Ganzhao
Published: (2026)
by: Yuan, Ganzhao
Published: (2026)
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning
by: Ding, Kuangyu, et al.
Published: (2023)
by: Ding, Kuangyu, et al.
Published: (2023)
Similar Items
-
LoDAdaC: a unified local training-based decentralized framework with adaptive gradients and compressed communication
by: Liu, Wei, et al.
Published: (2026) -
A Robust Compressed Push-Pull Method for Decentralized Nonconvex Optimization
by: Liao, Yiwei, et al.
Published: (2024) -
Heterogeneous Stochastic Momentum ADMM for Distributed Nonconvex Composite Optimization
by: Zhang, Yangming, et al.
Published: (2026) -
Stochastic Push-Pull for Decentralized Nonconvex Optimization
by: You, Runze, et al.
Published: (2025) -
Compressed Momentum-based Single-Point Zeroth-Order Algorithm for Stochastic Distributed Nonconvex Optimization
by: Chen, Linjing, et al.
Published: (2025)