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Networked Optimization with Adaptive Communication Konstantinos I. Tsianos, Sean F. Lawlor, Jun Ye Yu, and Michael G. Rabbat Department of Electrical and Computer Engineering McGill University Montr´eal, Qu´ebec, Canad
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Document Date: 2013-09-16 10:45:18


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Company

SIAM Journal / Neural Information Processing Systems / Cambridge University Press / /

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IndustryTerm

stochastic subgradient projection algorithms / consensus-based distributed optimization algorithm / gossip algorithms / distributed optimization algorithm / distributed signal processing / distributed algorithm / real distributed hardware / final solution / adaptive communications / signal processing tasks / redundant communications / machine learning applications / computing / elegant distributed algorithm / online/incremental fashion / distributed optimization algorithms / network infrastructure / consensus-based distributed algorithm / distributed averaging algorithms / consensus protocol / Consensus-based algorithms / /

Organization

Cambridge University / Michael G. Rabbat Department of Electrical and Computer Engineering McGill University Montr´eal / /

Person

Michael G. Rabbat / Jun Ye Yu / Konstantinos I. Tsianos / Sean F. Lawlor / /

Position

centralized coordinator / /

Product

TnT / /

ProgrammingLanguage

E / C / /

ProvinceOrState

Manitoba / /

PublishedMedium

IEEE Transactions on Information Theory / Machine Learning / /

Technology

consensus protocol / elegant distributed algorithm / distributed algorithm / stochastic subgradient projection algorithms / proposed algorithm / distributed optimization algorithm / Consensus-based algorithms / distributed optimization algorithms / machine learning / Simulation / consensus-based distributed algorithm / human genome / gossip algorithms / consensus-based distributed optimization algorithm / distributed averaging algorithms / /

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