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» On distributed averaging algorithms and quantization effects
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CDC
2008
IEEE
123views Control Systems» more  CDC 2008»
13 years 10 months ago
On distributed averaging algorithms and quantization effects
—We consider distributed iterative algorithms for the averaging problem over time-varying topologies. Our focus is on the convergence time of such algorithms when complete (unqua...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...
TSP
2010
12 years 11 months ago
Distributed consensus with quantized data via sequence averaging
The problem of distributed average consensus with quantized data is considered in this correspondence. Conventional consensus algorithms suffer from divergence when quantization er...
Jun Fang, Hongbin Li
ICASSP
2010
IEEE
13 years 4 months ago
A general formalism for the analysis of distributed algorithms
The major contribution of this paper is the presentation of a general unifying description of distributed algorithms allowing to map local, node-based, algorithms onto a single gl...
Ondrej Sluciak, Thibault Hilaire, Markus Rupp
CDC
2008
IEEE
129views Control Systems» more  CDC 2008»
13 years 10 months ago
Distributed subgradient methods and quantization effects
Abstract— We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objec...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...
CDC
2008
IEEE
144views Control Systems» more  CDC 2008»
13 years 10 months ago
On the convergence time of distributed quantized averaging algorithms
— We come up with novel quantized averaging algorithms on synchronous and asynchronous communication networks with fixed, switching and random topologies. The implementation of ...
Minghui Zhu, Sonia Martínez