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检索条件"主题词=distributed stochastic optimization"
20 条 记 录,以下是1-10 订阅
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Linear convergence for distributed stochastic optimization with coupled inequality constraints
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JOURNAL OF THE FRANKLIN INSTITUTE 2025年 第1期362卷
作者: Du, Kaixin Meng, Min Li, Xiuxian Tongji Univ Shanghai Res Inst Intelligent Autonomous Syst Shanghai 201210 Peoples R China Tongji Univ Coll Elect & Informat Engn Dept Control Sci & Engn Shanghai 201804 Peoples R China Natl Key Lab Autonomous Intelligent Unmanned Syst Shanghai Peoples R China Minist Educ Frontiers Sci Ctr Intelligent Autonomous Syst Shanghai Peoples R China
This paper considers the distributed stochastic optimization problem over time-varying networks, in which agents aim to cooperatively minimize the expected value of the sum of their cost functions subject to coupled a... 详细信息
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distributed stochastic optimization with Compression for Non-Strongly Convex Objectives
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Computer Modeling in Engineering & Sciences 2024年 第4期139卷 459-481页
作者: Xuanjie Li Yuedong Xu School of Information Science and Technology Fudan UniversityShanghaiChina
We are investigating the distributed optimization problem,where a network of nodes works together to minimize a global objective that is a finite sum of their stored local *** nodes exchange optimization parameters th... 详细信息
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distributed stochastic optimization algorithm with non-consistent constraints in time-varying unbalanced networks
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JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS 2024年 第14期361卷
作者: Zhu, Yanan Zhou, Zhipeng Miao, Guoying Nanjing Univ Informat Sci & Technol Sch Automat Nanjing 210044 Peoples R China
This study focuses on a class of distributed optimization problems with non-consistent local set constraints in time-varying unbalanced networks. Considering that each agent only has access to local gradient informati... 详细信息
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Differentially Private distributed stochastic optimization with Time-Varying Sample Sizes
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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2024年 第9期69卷 6341-6348页
作者: Wang, Jimin Zhang, Ji-Feng Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China Univ Sci & Technol Beijing Key Lab Knowledge Automat Ind Proc Minist Educ Beijing 100083 Peoples R China Chinese Acad Sci Inst Syst Sci Acad Math & Syst Sci Key Lab Syst & Control Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Math Sci Beijing 100049 Peoples R China
Differentially private distributed stochastic optimization has become a hot topic due to the need for privacy protection in distributed stochastic optimization. In this article, two-time scale stochastic approximation... 详细信息
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ASYMPTOTIC PROPERTIES OF PRIMAL-DUAL ALGORITHM FOR distributed stochastic optimization OVER RANDOM NETWORKS WITH IMPERFECT COMMUNICATIONS
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SIAM JOURNAL ON CONTROL AND optimization 2018年 第3期56卷 2159-2188页
作者: Lei, Jinlong Chen, Han-Fu Fang, Hai-Tao Chinese Acad Sci Acad Math & Syst Sci Key Lab Syst & Control Beijing 100080 Peoples R China
This paper studies a distributed stochastic optimization problem over random networks with imperfect communications subject to a global constraint, which is the intersection of local constraint sets assigned to agents... 详细信息
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Time Complexity Analysis of distributed stochastic optimization in a Non-Stationary Environment  15
Time Complexity Analysis of Distributed Stochastic Optimizat...
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15th International Symposium on Modeling and optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)
作者: Bharath, B. N. Vaishali, P. Dept ECE PESIT Bangalore South Campus Bangalore 560100 Karnataka India
In this paper, we consider a distributed stochastic optimization problem where the goal is to minimize the time average of a cost function subject to a set of constraints on the time averages of related stochastic pro... 详细信息
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A Primal-Dual Algorithm for distributed stochastic optimization with Equality Constraints  40
A Primal-Dual Algorithm for Distributed Stochastic Optimizat...
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40th Chinese Control Conference (CCC)
作者: Du, Kai-Xin Chen, Xing-Min Dalian Univ Technol Sch Math Sci Dalian 116024 Peoples R China
distributed stochastic optimization problem with equality constraints over a random network with imperfect communications is considered, where the measurements of all functions to be used are subject to noises. The go... 详细信息
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Confidence region for distributed stochastic optimization problem via stochastic gradient tracking method
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AUTOMATICA 2024年 159卷
作者: Zhao, Shengchao Liu, Yongchao Dalian Univ Technol Sch Math Sci Dalian 116024 Peoples R China
Since stochastic approximation (SA) based algorithms are easy to implement and need less memory, they are very popular in distributed stochastic optimization problems. Many works have focused on the consistency of the... 详细信息
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A Primal-Dual Algorithm for distributed stochastic optimization with Equality Constraints
A Primal-Dual Algorithm for Distributed Stochastic Optimizat...
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第40届中国控制会议
作者: Kai-Xin Du Xing-Min Chen School of Mathematical Sciences Dalian University of Technology
distributed stochastic optimization problem with equality constraints over a random network with imperfect communications is considered, where the measurements of all functions to be used are subject to noises. The go... 详细信息
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distributed Heterogeneous Multi-Agent optimization with stochastic Sub-Gradient
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Journal of Systems Science & Complexity 2024年 第4期37卷 1470-1487页
作者: HU Haokun MO Lipo CAO Xianbing School of Mathematics and Statistics Central South UniversityChangsha 410083China School of Mathematics and Statistics Beijing Technology and Business UniversityBeijing 100048China Research Centre for Agri-Product Quality Traceability Beijing Technology and Business UniversityBeijing 100048China School of Computer and Artificial Intelligence Beijing Technology and Business UniversityBeijing 100048China China Food Flavor and Nutrition Health Innovation Center Beijing Technology and Business UniversityBeijing 100048China
This paper studies the optimization problem of heterogeneous networks under a timevarying *** agent only accesses to one local objective function,which is *** improved algorithm with noisy measurement of local objecti... 详细信息
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