In this work, we analyse a stochastic version of the primaldual method of multipliers (PDMM), which is a promising algorithm in the field of distributed optimisation. So far, its convergence has been proven for synchronous implementations of the algorithm [1], [2]. Simulations have shown that PDMM also converges if it is implemented asynchronously, having the advantage that there is no need for clock synchronisation between the nodes in a distributed network. Furthermore, a broadcast implementation of asynchronous PDMM can be derived, instead of the usual unicast implementation. This broadcast implementation comes with a number of benefits...Electrical Engineering, Mathematics and Computer ScienceCircuits and System
International audienceWith the growing number of distributed energy resources, the number of agents ...
The spread of computer networks, from sensor networks to the Internet, creates an ever-growing need ...
The subject of this thesis concerns verification of distributed systems. More precisely, we focus on...
In recent years, the large increase in connected devices and the data that is collected by these dev...
Distributed optimization has been an extensively studied field for years. Recent developments in the...
In this paper, we present a novel derivation of an existing algorithm for distributed optimization t...
Nowadays, large-scale networks of computing units, often characterized by the absence of central con...
This thesis deals with the distributed and stochastic algorithms, including testing their convergenc...
Abstract — Consider a set of networked agents endowed with private cost functions and seeking to fin...
Asynchronous methods for solving systems of linear equations have been researched since Chazan and M...
Abstract — In our recent paper [1], we proposed a distributed PMU-PDC architecture for estimating po...
Distributed optimization algorithms are highly attractive for solving big data problems. In particul...
In this paper, a distributed stochastic approximation algorithm is studied. Applications of such alg...
We present a convergence result for a nonhomogeneous Markov chain that arises in the study of networ...
The paper examines the parallel implementation of iteration type global illumination al-gorithms. Th...
International audienceWith the growing number of distributed energy resources, the number of agents ...
The spread of computer networks, from sensor networks to the Internet, creates an ever-growing need ...
The subject of this thesis concerns verification of distributed systems. More precisely, we focus on...
In recent years, the large increase in connected devices and the data that is collected by these dev...
Distributed optimization has been an extensively studied field for years. Recent developments in the...
In this paper, we present a novel derivation of an existing algorithm for distributed optimization t...
Nowadays, large-scale networks of computing units, often characterized by the absence of central con...
This thesis deals with the distributed and stochastic algorithms, including testing their convergenc...
Abstract — Consider a set of networked agents endowed with private cost functions and seeking to fin...
Asynchronous methods for solving systems of linear equations have been researched since Chazan and M...
Abstract — In our recent paper [1], we proposed a distributed PMU-PDC architecture for estimating po...
Distributed optimization algorithms are highly attractive for solving big data problems. In particul...
In this paper, a distributed stochastic approximation algorithm is studied. Applications of such alg...
We present a convergence result for a nonhomogeneous Markov chain that arises in the study of networ...
The paper examines the parallel implementation of iteration type global illumination al-gorithms. Th...
International audienceWith the growing number of distributed energy resources, the number of agents ...
The spread of computer networks, from sensor networks to the Internet, creates an ever-growing need ...
The subject of this thesis concerns verification of distributed systems. More precisely, we focus on...