Saved in:
| Main Authors: | Hu, Jinhui, Chen, Guo, Li, Huaqing, Guo, Xiaoyu, Ran, Liang, Huang, Tingwen |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2305.08051 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Decentralized Nonconvex Robust Optimization over Unsafe Multiagent Systems: System Modeling, Utility, Resilience, and Privacy Analysis
by: Hu, Jinhui, et al.
Published: (2024)
by: Hu, Jinhui, et al.
Published: (2024)
(Corrected Version) Push-LSVRG-UP: Distributed Stochastic Optimization over Unbalanced Directed Networks with Uncoordinated Triggered Probabilities
by: Hu, Jinhui, et al.
Published: (2023)
by: Hu, Jinhui, et al.
Published: (2023)
Decentralized Stochastic Constrained Optimization via Prox-Linearization
by: Sharma, Shivangi Dubey, et al.
Published: (2026)
by: Sharma, Shivangi Dubey, et al.
Published: (2026)
Some Unified Theory for Variance Reduced Prox-Linear Methods
by: Wu, Yue, et al.
Published: (2024)
by: Wu, Yue, et al.
Published: (2024)
Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance
by: Chen, Hongxu, et al.
Published: (2026)
by: Chen, Hongxu, et al.
Published: (2026)
Byzantine-Resilient Decentralized Online Resource Allocation
by: Wang, Runhua, et al.
Published: (2025)
by: Wang, Runhua, et al.
Published: (2025)
Achieving Linear Speedup with ProxSkip in Distributed Stochastic Optimization
by: Guo, Luyao, et al.
Published: (2023)
by: Guo, Luyao, et al.
Published: (2023)
The Barzilai-Borwein Method for Distributed Optimization over Unbalanced Directed Networks
by: Hu, Jinhui, et al.
Published: (2023)
by: Hu, Jinhui, et al.
Published: (2023)
Trust-Region Stochastic Optimization with Variance Reduction Technique
by: Zheng, Xinshou
Published: (2024)
by: Zheng, Xinshou
Published: (2024)
Improved Convergence for Decentralized Stochastic Optimization with Biased Gradients
by: Xu, Qing, et al.
Published: (2026)
by: Xu, Qing, et al.
Published: (2026)
S-DIGing: A Stochastic Gradient Tracking Algorithm for Distributed Optimization
by: Li, Huaqing, et al.
Published: (2019)
by: Li, Huaqing, et al.
Published: (2019)
On the Convergence of FedProx with Extrapolation and Inexact Prox
by: Li, Hanmin, et al.
Published: (2024)
by: Li, Hanmin, et al.
Published: (2024)
A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints
by: Wang, Lei, et al.
Published: (2022)
by: Wang, Lei, et al.
Published: (2022)
Optimal Decentralized Dynamic Energy Management over Asynchronous Peer-to-Peer Transactive Networks via Operator Splitting
by: Zhang, Xi, et al.
Published: (2026)
by: Zhang, Xi, et al.
Published: (2026)
Prox-NAG-GS: A Semi-Implicit Proximal Method for Composite Optimization
by: Wiykiynyuy, Sikeh Gisele, et al.
Published: (2026)
by: Wiykiynyuy, Sikeh Gisele, et al.
Published: (2026)
Unified Theory of Adaptive Variance Reduction
by: Shestakov, Aleksandr, et al.
Published: (2025)
by: Shestakov, Aleksandr, et al.
Published: (2025)
Split, Skip and Play: Variance-Reduced ProxSkip for Tomography Reconstruction is Extremely Fast
by: Papoutsellis, Evangelos, et al.
Published: (2026)
by: Papoutsellis, Evangelos, et al.
Published: (2026)
Distributed Optimization Algorithm with Superlinear Convergence Rate
by: Xu, Yeming, et al.
Published: (2024)
by: Xu, Yeming, et al.
Published: (2024)
Variance Reduction and Low Sample Complexity in Stochastic Optimization via Proximal Point Method
by: Liang, Jiaming
Published: (2024)
by: Liang, Jiaming
Published: (2024)
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods
by: Chayti, El Mahdi, et al.
Published: (2023)
by: Chayti, El Mahdi, et al.
Published: (2023)
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
by: Jiang, Wei, et al.
Published: (2024)
by: Jiang, Wei, et al.
Published: (2024)
Gradient Estimation and Variance Reduction in Stochastic and Deterministic Models
by: Keane, Ronan
Published: (2024)
by: Keane, Ronan
Published: (2024)
Toward Exact Convergence in Byzantine-Robust Decentralized Learning: A Statistical Identification Approach
by: Zhang, Siyuan, et al.
Published: (2026)
by: Zhang, Siyuan, et al.
Published: (2026)
Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction
by: Rodomanov, Anton, et al.
Published: (2024)
by: Rodomanov, Anton, et al.
Published: (2024)
Non-Parametric Learning of Stochastic Differential Equations with Non-asymptotic Fast Rates of Convergence
by: Bonalli, Riccardo, et al.
Published: (2023)
by: Bonalli, Riccardo, et al.
Published: (2023)
ZIVR: An Incremental Variance Reduction Technique For Zeroth-Order Composite Problems
by: Zhang, Silan, et al.
Published: (2026)
by: Zhang, Silan, et al.
Published: (2026)
Resilient Two-Time-Scale Local Stochastic Gradient Descent for Byzantine Federated Learning
by: Dutta, Amit, et al.
Published: (2024)
by: Dutta, Amit, et al.
Published: (2024)
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions
by: Jiang, Wei, et al.
Published: (2024)
by: Jiang, Wei, et al.
Published: (2024)
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction
by: Jiang, Wei, et al.
Published: (2024)
by: Jiang, Wei, et al.
Published: (2024)
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)
Decentralized Optimization over Time-Varying Row-Stochastic Digraphs
by: Liang, Liyuan, et al.
Published: (2025)
by: Liang, Liyuan, et al.
Published: (2025)
Improved Rates for Stochastic Variance-Reduced Difference-of-Convex Algorithms
by: Nguyen, Anh Duc, et al.
Published: (2025)
by: Nguyen, Anh Duc, et al.
Published: (2025)
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)
Distributed Adaptive Time-Varying Optimization with Global Asymptotic Convergence
by: Jiang, Liangze, et al.
Published: (2024)
by: Jiang, Liangze, et al.
Published: (2024)
A Globalized Semismooth Newton Method for Prox-regular Optimization Problems
by: Wu, Yuqia, et al.
Published: (2025)
by: Wu, Yuqia, et al.
Published: (2025)
Relating Checkpoint Update Probabilities to Momentum Parameters in Single-Loop Variance Reduction Methods
by: Liu, Hai, et al.
Published: (2026)
by: Liu, Hai, et al.
Published: (2026)
Stochastic Gradient Langevin Dynamics with Variance Reduction
by: Huang, Zhishen, et al.
Published: (2021)
by: Huang, Zhishen, et al.
Published: (2021)
Dual Averaging With Non-Strongly-Convex Prox-Functions: New Analysis and Algorithm
by: Zhao, Renbo
Published: (2025)
by: Zhao, Renbo
Published: (2025)
The Mirror-Prox Sliding Method for Non-smooth decentralized saddle-point problems
by: Kuruzov, Ilya, et al.
Published: (2022)
by: Kuruzov, Ilya, et al.
Published: (2022)
A Dynamically Weighted ADMM Framework for Byzantine Resilience
by: Vijay, Vishnu, et al.
Published: (2025)
by: Vijay, Vishnu, et al.
Published: (2025)
Similar Items
-
Decentralized Nonconvex Robust Optimization over Unsafe Multiagent Systems: System Modeling, Utility, Resilience, and Privacy Analysis
by: Hu, Jinhui, et al.
Published: (2024) -
(Corrected Version) Push-LSVRG-UP: Distributed Stochastic Optimization over Unbalanced Directed Networks with Uncoordinated Triggered Probabilities
by: Hu, Jinhui, et al.
Published: (2023) -
Decentralized Stochastic Constrained Optimization via Prox-Linearization
by: Sharma, Shivangi Dubey, et al.
Published: (2026) -
Some Unified Theory for Variance Reduced Prox-Linear Methods
by: Wu, Yue, et al.
Published: (2024) -
Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance
by: Chen, Hongxu, et al.
Published: (2026)