Add to ORKGThe goal of this paper is to optimize the convergence process in distributed computing. We performed two experiments for five networks and according to the obtained results derived theoretical conclusions to optimize the classification of the convergence event
This thesis is concerned with the design of distributed algorithms for solving optimization problems...
This article evaluates convergence rates of binary majority consensus algorithms in networks with di...
This dissertation deals with the development of effective information processing strategies for dist...
The goal of this paper is to optimize the convergence process in distributed computing. We performed...
The proposed convergence algorithm is aimed at enhancing the performance of distributed applications...
The paper presents a novel distributed classifier of the convergence, which allows to detect the con...
This thesis deals with the distributed and stochastic algorithms including testing their convergence...
This dissertation deals with developing optimization algorithms which can be distributed over a netw...
We consider a multi-agent setting with agents exchanging information over a network to solve a conve...
In distributed optimization and machine learning, multiple nodes coordinate to solve large problems....
This paper presents results on the convergence time of a previously proposed algorithm to solve the ...
Bibliography: p. 43-45."October, 1984." (Revision of LIDS-P-1342)" NSF-ECS-8217668" " ONR/N00014-75-...
This dissertation contributes toward design, convergence analysis and improving the performance of t...
We consider the problem of cooperatively minimizing the sum of convex functions, where the functions...
International audienceThis paper explores the fundamental properties of distributed minimization of ...
This thesis is concerned with the design of distributed algorithms for solving optimization problems...
This article evaluates convergence rates of binary majority consensus algorithms in networks with di...
This dissertation deals with the development of effective information processing strategies for dist...
The goal of this paper is to optimize the convergence process in distributed computing. We performed...
The proposed convergence algorithm is aimed at enhancing the performance of distributed applications...
The paper presents a novel distributed classifier of the convergence, which allows to detect the con...
This thesis deals with the distributed and stochastic algorithms including testing their convergence...
This dissertation deals with developing optimization algorithms which can be distributed over a netw...
We consider a multi-agent setting with agents exchanging information over a network to solve a conve...
In distributed optimization and machine learning, multiple nodes coordinate to solve large problems....
This paper presents results on the convergence time of a previously proposed algorithm to solve the ...
Bibliography: p. 43-45."October, 1984." (Revision of LIDS-P-1342)" NSF-ECS-8217668" " ONR/N00014-75-...
This dissertation contributes toward design, convergence analysis and improving the performance of t...
We consider the problem of cooperatively minimizing the sum of convex functions, where the functions...
International audienceThis paper explores the fundamental properties of distributed minimization of ...
This thesis is concerned with the design of distributed algorithms for solving optimization problems...
This article evaluates convergence rates of binary majority consensus algorithms in networks with di...
This dissertation deals with the development of effective information processing strategies for dist...