By the distributed averaging problem is meant the problem of computing the average value of a set of numbers possessed by the agents in a distributed network using only communication between neighboring agents. Gossiping is a well-known approach to the problem which seeks to iteratively arrive at a solution by allowing each agent to interchange information with at most one neighbor at each iterative step. Crafting a gossiping protocol which accomplishes this is challenging because gossiping is an inherently collaborative process which can lead to deadlock unless careful precautions are taken to ensure that it does not. In this paper we present three gossiping protocols. We show by example that the first can deadlock. While the second cannot...
A gossip protocol is a procedure for spreading secrets among a group of agents, using a connection g...
Abstract: Distributed averaging is a relevant problem in several application areas, such as decentra...
We consider a multi-agent system where each agent has its own estimate of a given quantity and the g...
Due to the character of the original source materials and the nature of batch digitization, quality ...
For the purposes of this paper, gossiping is a distributed process whose purpose is to enable the me...
The distributed averaging problem is a consensus problem whose objective is to devise a protocol wh...
Abstract—Randomized gossip algorithms are attractive for collaborative in-network processing and agg...
Gossip algorithms are widely used to solve the distributed consensus problem, but issues can arise w...
We study a general framework for broadcast gossip algorithms which use companion variables to solve ...
In this paper, we propose a new decentralized algorithm to solve the consensus on the average proble...
Abstract—Motivated by applications to wireless sensor, peer-to-peer, and ad hoc networks, we study d...
The importance of scalability and fault-tolerance in modern distributed systems has led to considera...
Unlike the telephone network or the Internet, many of the next generation networks are not engineere...
We propose Gossipico, a gossip algorithm to average, sum or find minima and maxima over node values ...
Gossiping is a distributed process whose purpose is to enable the members of a group of n > 1 autono...
A gossip protocol is a procedure for spreading secrets among a group of agents, using a connection g...
Abstract: Distributed averaging is a relevant problem in several application areas, such as decentra...
We consider a multi-agent system where each agent has its own estimate of a given quantity and the g...
Due to the character of the original source materials and the nature of batch digitization, quality ...
For the purposes of this paper, gossiping is a distributed process whose purpose is to enable the me...
The distributed averaging problem is a consensus problem whose objective is to devise a protocol wh...
Abstract—Randomized gossip algorithms are attractive for collaborative in-network processing and agg...
Gossip algorithms are widely used to solve the distributed consensus problem, but issues can arise w...
We study a general framework for broadcast gossip algorithms which use companion variables to solve ...
In this paper, we propose a new decentralized algorithm to solve the consensus on the average proble...
Abstract—Motivated by applications to wireless sensor, peer-to-peer, and ad hoc networks, we study d...
The importance of scalability and fault-tolerance in modern distributed systems has led to considera...
Unlike the telephone network or the Internet, many of the next generation networks are not engineere...
We propose Gossipico, a gossip algorithm to average, sum or find minima and maxima over node values ...
Gossiping is a distributed process whose purpose is to enable the members of a group of n > 1 autono...
A gossip protocol is a procedure for spreading secrets among a group of agents, using a connection g...
Abstract: Distributed averaging is a relevant problem in several application areas, such as decentra...
We consider a multi-agent system where each agent has its own estimate of a given quantity and the g...