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» Distributed subgradient methods and quantization effects
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CDC
2008
IEEE
129views Control Systems» more  CDC 2008»
13 years 11 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...
ICASSP
2010
IEEE
13 years 5 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
ICASSP
2011
IEEE
12 years 8 months ago
Quantizer design with mismatched side information at the decoder
Quantizer design for lossy compression with mismatched side information (SI) at the decoder is investigated. The statistical dependency between the source and SI is assumed to be ...
Sepideh Shamaei, Mehrdad Valipour
DCC
1995
IEEE
13 years 8 months ago
Constrained-Storage Vector Quantization with a Universal Codebook
— Many image compression techniques require the quantization of multiple vector sources with significantly different distributions. With vector quantization (VQ), these sources ...
Sangeeta Ramakrishnan, Kenneth Rose, Allen Gersho
SIGMETRICS
2012
ACM
248views Hardware» more  SIGMETRICS 2012»
11 years 7 months ago
Pricing cloud bandwidth reservations under demand uncertainty
In a public cloud, bandwidth is traditionally priced in a pay-asyou-go model. Reflecting the recent trend of augmenting cloud computing with bandwidth guarantees, we consider a n...
Di Niu, Chen Feng, Baochun Li