Image de couverture de livre

Stochastic Momentum Tracking Push-Pull for Decentralized Optimization over Directed Graphs

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Fan, Wenqi, Liao, Yiwei, Xu, Qing, Guo, Bin, Dian, Songyi
Format:	Preprint
Publié:	2026
Sujets:	Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Improved Convergence for Decentralized Stochastic Optimization with Biased Gradients
par: Xu, Qing, et autres
Publié: (2026)

A Robust Compressed Push-Pull Method for Decentralized Nonconvex Optimization
par: Liao, Yiwei, et autres
Publié: (2024)

Stochastic Push-Pull for Decentralized Nonconvex Optimization
par: You, Runze, et autres
Publié: (2025)

On the Linear Speedup of the Push-Pull Method for Decentralized Optimization over Digraphs
par: Liang, Liyuan, et autres
Publié: (2025)

Stability and Generalization of Push-Sum Based Decentralized Optimization over Directed Graphs
par: Liang, Yifei, et autres
Publié: (2026)

(Corrected Version) Push-LSVRG-UP: Distributed Stochastic Optimization over Unbalanced Directed Networks with Uncoordinated Triggered Probabilities
par: Hu, Jinhui, et autres
Publié: (2023)

Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization
par: Liu, Wei, et autres
Publié: (2025)

Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization
par: Li, Huan, et autres
Publié: (2021)

Decentralized Optimization over Time-Varying Row-Stochastic Digraphs
par: Liang, Liyuan, et autres
Publié: (2025)

Optimal Push and Pull-Based Edge Caching For Dynamic Content
par: Abolhassani, Bahman, et autres
Publié: (2024)

Riemannian Momentum Tracking: Distributed Optimization with Momentum on Compact Submanifolds
par: Chen, Jun, et autres
Publié: (2026)

Sporadic Gradient Tracking over Directed Graphs: A Theoretical Perspective on Decentralized Federated Learning
par: Zehtabi, Shahryar, et autres
Publié: (2026)

Provably Convergent Decentralized Optimization over Directed Graphs under Generalized Smoothness
par: Bo, Yanan, et autres
Publié: (2026)

Heterogeneous Stochastic Momentum ADMM for Distributed Nonconvex Composite Optimization
par: Zhang, Yangming, et autres
Publié: (2026)

Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs
par: Shahriari-Mehr, Firooz, et autres
Publié: (2024)

Optimal Gradient Tracking for Decentralized Optimization
par: Song, Zhuoqing, et autres
Publié: (2021)

Smoothing Gradient Tracking for Decentralized Optimization over the Stiefel Manifold with Non-smooth Regularizers
par: Wang, Lei, et autres
Publié: (2023)

Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks
par: Nguyen, Duong Thuy Anh, et autres
Publié: (2024)

A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints
par: Wang, Lei, et autres
Publié: (2022)

Decentralized Min-Max Optimization with Gradient Tracking
par: You, Runze, et autres
Publié: (2025)

B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data
par: You, Runze, et autres
Publié: (2024)

Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization
par: Zhang, Xuan, et autres
Publié: (2023)

Generalized Stochastic Gradient Descent with Momentum Methods for Smooth Optimization
par: Wang, Zimeng, et autres
Publié: (2026)

Stochastic Difference-of-Convex Optimization with Momentum
par: Chayti, El Mahdi, et autres
Publié: (2025)

High-Probability Convergence in Decentralized Stochastic Optimization with Gradient Tracking
par: Armacki, Aleksandar, et autres
Publié: (2026)

Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks
par: Divilkovskiy, Maxim, et autres
Publié: (2025)

Decentralized Concurrent Learning with Coordinated Momentum and Restart
par: Ochoa, Daniel E., et autres
Publié: (2024)

On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization
par: Tyurin, Alexander, et autres
Publié: (2024)

A Momentum-based Stochastic Algorithm for Linearly Constrained Nonconvex Optimization
par: Qiu, Chenyang, et autres
Publié: (2026)

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking
par: Su, Yanxu, et autres
Publié: (2026)

S-DIGing: A Stochastic Gradient Tracking Algorithm for Distributed Optimization
par: Li, Huaqing, et autres
Publié: (2019)

Neighbor-Sampling Based Momentum Stochastic Methods for Training Graph Neural Networks
par: Noel, Molly, et autres
Publié: (2025)

Projected Stochastic Momentum Methods for Nonlinear Equality-Constrained Optimization for Machine Learning
par: Wang, Qi, et autres
Publié: (2026)

On the Convergence of Decentralized Stochastic Gradient-Tracking with Finite-Time Consensus
par: Fainman, Aaron, et autres
Publié: (2025)

Intrinsic Decentralized Stochastic Riemannian Optimization on Manifolds with Bounded Sectional Curvature
par: Nguyen, Duc Toan, et autres
Publié: (2026)

On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization
par: Sahu, Sharan, et autres
Publié: (2026)

Non-convex Stochastic Composite Optimization with Polyak Momentum
par: Gao, Yuan, et autres
Publié: (2024)

Decentralized Nonconvex Robust Optimization over Unsafe Multiagent Systems: System Modeling, Utility, Resilience, and Privacy Analysis
par: Hu, Jinhui, et autres
Publié: (2024)

Decentralized Finite-Sum Optimization over Time-Varying Networks
par: Metelev, Dmitry, et autres
Publié: (2024)

A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds
par: Wang, Lei, et autres
Publié: (2024)