Distributed Stochastic Block Coordinate Descent for Time-Varying Multi-Agent Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Yu, Zhan, Ho, Daniel W. C. |
|---|---|
| Format: | Preprint |
| Published: |
2019
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generic Frameworks for Distributed Functional Optimization and Learning over Time-Varying Networks
by: Yu, Zhan, et al.
Published: (2025)
by: Yu, Zhan, et al.
Published: (2025)
Distributed Stochastic Optimization under Heavy-Tailed Noise: A Federated Mirror Descent Approach with High Probability Convergence
by: Yu, Zhan, et al.
Published: (2025)
by: Yu, Zhan, et al.
Published: (2025)
Time-Varying Distributed Optimization for A Class of Stochastic Multi-Agent Systems
by: Li, Wan-ying, et al.
Published: (2025)
by: Li, Wan-ying, et al.
Published: (2025)
Block Coordinate Descent Network Simplex Methods for Optimal Transport
by: Li, Lingrui, et al.
Published: (2025)
by: Li, Lingrui, et al.
Published: (2025)
The Randomized Block Coordinate Descent Method in the Hölder Smooth Setting
by: Maia, Leandro Farias, et al.
Published: (2024)
by: Maia, Leandro Farias, et al.
Published: (2024)
Nonlinear Optimization Filters for Stochastic Time-Varying Convex Optimization
by: Simonetto, Andrea, et al.
Published: (2023)
by: Simonetto, Andrea, et al.
Published: (2023)
Block Coordinate Descent Methods for Structured Nonconvex Optimization with Nonseparable Constraints: Optimality Conditions and Global Convergence
by: Yuan, Zhijie, et al.
Published: (2024)
by: Yuan, Zhijie, et al.
Published: (2024)
Decentralized Optimization over Time-Varying Row-Stochastic Digraphs
by: Liang, Liyuan, et al.
Published: (2025)
by: Liang, Liyuan, et al.
Published: (2025)
Projected Block Coordinate Descent for sparse spike estimation
by: Bénard, Pierre-Jean, et al.
Published: (2024)
by: Bénard, Pierre-Jean, 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)
Optimization of Linear Multi-Agent Dynamical Systems via Feedback Distributed Gradient Descent Methods
by: Mehrnoosh, Amir, et al.
Published: (2024)
by: Mehrnoosh, Amir, et al.
Published: (2024)
Distributed Time-Varying Optimization via Unbiased Extremum Seeking
by: Li, Xuebin, et al.
Published: (2025)
by: Li, Xuebin, et al.
Published: (2025)
Distributed Optimization with Coupled Constraints over Time-Varying Digraph
by: Kim, Yeong-Ung, et al.
Published: (2026)
by: Kim, Yeong-Ung, 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)
Distributed Prediction-Correction ADMM for Time-Varying Convex Optimization
by: Bastianello, Nicola, et al.
Published: (2020)
by: Bastianello, Nicola, et al.
Published: (2020)
Differentially Private Random Block Coordinate Descent
by: Maranjyan, Artavazd, et al.
Published: (2024)
by: Maranjyan, Artavazd, et al.
Published: (2024)
Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent
by: Kim, Donghwa, et al.
Published: (2025)
by: Kim, Donghwa, et al.
Published: (2025)
Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent
by: Jing, Gangshan, et al.
Published: (2021)
by: Jing, Gangshan, et al.
Published: (2021)
Communication-Efficient Distributed Online Nonconvex Optimization with Time-Varying Constraints
by: Zhang, Kunpeng, et al.
Published: (2025)
by: Zhang, Kunpeng, et al.
Published: (2025)
Rapid Overfitting of Multi-Pass Stochastic Gradient Descent in Stochastic Convex Optimization
by: Vansover-Hager, Shira, et al.
Published: (2025)
by: Vansover-Hager, Shira, et al.
Published: (2025)
Distributed Event-Triggered Bandit Convex Optimization with Time-Varying Constraints
by: Zhang, Kunpeng, et al.
Published: (2024)
by: Zhang, Kunpeng, et al.
Published: (2024)
Time-Varying Multi-Objective Optimization: Tradeoff Regret Bounds
by: Shafiei, Allahkaram, et al.
Published: (2022)
by: Shafiei, Allahkaram, et al.
Published: (2022)
Stochastic Approximation with Block Coordinate Optimal Stepsizes
by: Jiang, Tao, et al.
Published: (2025)
by: Jiang, Tao, et al.
Published: (2025)
A Block Coordinate Descent Method for Nonsmooth Composite Optimization under Orthogonality Constraints
by: Yuan, Ganzhao
Published: (2023)
by: Yuan, Ganzhao
Published: (2023)
Efficient Online Mirror Descent Stochastic Approximation for Multi-Stage Stochastic Programming
by: Zhang, Junhui, et al.
Published: (2025)
by: Zhang, Junhui, et al.
Published: (2025)
A Distributed Time-Varying Optimization Approach Based on an Event-Triggered Scheme
by: Li, Haojin, et al.
Published: (2024)
by: Li, Haojin, et al.
Published: (2024)
Generalized Stochastic Gradient Descent with Momentum Methods for Smooth Optimization
by: Wang, Zimeng, et al.
Published: (2026)
by: Wang, Zimeng, et al.
Published: (2026)
Quantum Natural Stochastic Pairwise Coordinate Descent
by: Sohail, Mohammad Aamir, et al.
Published: (2024)
by: Sohail, Mohammad Aamir, et al.
Published: (2024)
Difference Between Cyclic and Distributed Approach in Stochastic Optimization for Multi-agent System
by: Shi, Jiahao, et al.
Published: (2024)
by: Shi, Jiahao, et al.
Published: (2024)
On the Worst-Case Analysis of Cyclic Block Coordinate Descent type Algorithms
by: Kamri, Yassine, et al.
Published: (2025)
by: Kamri, Yassine, et al.
Published: (2025)
Optimal Convergence Rate for Mirror Descent Methods with special Time-Varying Step Sizes Rules
by: Alkousa, Mohammad, et al.
Published: (2024)
by: Alkousa, Mohammad, et al.
Published: (2024)
Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks
by: Divilkovskiy, Maxim, et al.
Published: (2025)
by: Divilkovskiy, Maxim, et al.
Published: (2025)
Distributed Optimization and Learning for Automated Stepsize Selection with Finite Time Coordination
by: Rikos, Apostolos I., et al.
Published: (2025)
by: Rikos, Apostolos I., et al.
Published: (2025)
Recursively Feasible Stochastic Model Predictive Control for Time-Varying Linear Systems Subject to Unbounded Disturbances
by: Knaup, Jacob W., et al.
Published: (2024)
by: Knaup, Jacob W., et al.
Published: (2024)
Computing Stationary Distribution via Dirichlet-Energy Minimization by Coordinate Descent
by: Avrachenkov, Konstantin, et al.
Published: (2026)
by: Avrachenkov, Konstantin, et al.
Published: (2026)
Asynchronous Decentralized SGD under Non-Convexity: A Block-Coordinate Descent Framework
by: Zhou, Yijie, et al.
Published: (2025)
by: Zhou, Yijie, et al.
Published: (2025)
Distributed Stochastic Search for Multi-Agent Model Predictive Control
by: Yoon, Taehyun, et al.
Published: (2025)
by: Yoon, Taehyun, et al.
Published: (2025)
Frictionless Hamiltonian Descent and Coordinate Hamiltonian Descent for Strongly Convex Quadratic Problems
by: Wang, Jun-Kun
Published: (2024)
by: Wang, Jun-Kun
Published: (2024)
The Internal Model Principle of Time-Varying Optimization
by: Bianchin, Gianluca, et al.
Published: (2024)
by: Bianchin, Gianluca, et al.
Published: (2024)
Stochastic Gradient Descent for Constrained Optimization based on Adaptive Relaxed Barrier Functions
by: Dimitrieski, Naum, et al.
Published: (2025)
by: Dimitrieski, Naum, et al.
Published: (2025)
Similar Items
-
Generic Frameworks for Distributed Functional Optimization and Learning over Time-Varying Networks
by: Yu, Zhan, et al.
Published: (2025) -
Distributed Stochastic Optimization under Heavy-Tailed Noise: A Federated Mirror Descent Approach with High Probability Convergence
by: Yu, Zhan, et al.
Published: (2025) -
Time-Varying Distributed Optimization for A Class of Stochastic Multi-Agent Systems
by: Li, Wan-ying, et al.
Published: (2025) -
Block Coordinate Descent Network Simplex Methods for Optimal Transport
by: Li, Lingrui, et al.
Published: (2025) -
The Randomized Block Coordinate Descent Method in the Hölder Smooth Setting
by: Maia, Leandro Farias, et al.
Published: (2024)