Summary. We consider the problem of minimizing the sum of convex functions over a network when each component function is known (with stochastic errors) to a specific network agent. We discuss a gossip based algorithm of [2], and we analyze its error bounds for a constant stepsize that is uncoordinated across the agents.
Unlike the telephone network or the Internet, many of the next generation networks are not engineere...
International audienceWe consider a distributed stochastic optimization problem in networks with fin...
We study distributed optimization in networked systems, where nodes cooperate to find the optimal qu...
Abstract—We consider a distributed multi-agent network system where the goal is to minimize an objec...
Abstract—We consider a distributed multi-agent network sys-tem where the goal is to minimize the sum...
In this paper we study two problems which often occur in various applications arising in wireless se...
We consider a distributed multi-agent network system where each agent has its own convex objective f...
Motivated by the recent interest in statistical learning and distributed computing, we study stochas...
We study distributed optimization in networked systems, where nodes cooperate to find the optimal qu...
We consider distributed optimization problems in which a number of agents are to seek the global opt...
Abstract. In this paper we study the effect of stochastic errors on two constrained incremental sub-...
Abstract—We consider fully distributed constrained convex optimization problems over a network, wher...
We consider two variants of the classical gossip algorithm. The first variant is a version of asynch...
We propose a non-hierarchical decentralized algorithm for the asymptotic minimization of possibly ti...
We consider a distributed multi-agent network system where the goal is to minimize a sum of convex o...
Unlike the telephone network or the Internet, many of the next generation networks are not engineere...
International audienceWe consider a distributed stochastic optimization problem in networks with fin...
We study distributed optimization in networked systems, where nodes cooperate to find the optimal qu...
Abstract—We consider a distributed multi-agent network system where the goal is to minimize an objec...
Abstract—We consider a distributed multi-agent network sys-tem where the goal is to minimize the sum...
In this paper we study two problems which often occur in various applications arising in wireless se...
We consider a distributed multi-agent network system where each agent has its own convex objective f...
Motivated by the recent interest in statistical learning and distributed computing, we study stochas...
We study distributed optimization in networked systems, where nodes cooperate to find the optimal qu...
We consider distributed optimization problems in which a number of agents are to seek the global opt...
Abstract. In this paper we study the effect of stochastic errors on two constrained incremental sub-...
Abstract—We consider fully distributed constrained convex optimization problems over a network, wher...
We consider two variants of the classical gossip algorithm. The first variant is a version of asynch...
We propose a non-hierarchical decentralized algorithm for the asymptotic minimization of possibly ti...
We consider a distributed multi-agent network system where the goal is to minimize a sum of convex o...
Unlike the telephone network or the Internet, many of the next generation networks are not engineere...
International audienceWe consider a distributed stochastic optimization problem in networks with fin...
We study distributed optimization in networked systems, where nodes cooperate to find the optimal qu...