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Distributed greedy sparse learning over doubly stochastic networks
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Information Science and Engineering. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Information Science and Engineering. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-2638-6047
KTH, School of Electrical Engineering (EES), Information Science and Engineering. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-7182-9543
2017 (English)In: 25th European Signal Processing Conference, EUSIPCO 2017, Institute of Electrical and Electronics Engineers (IEEE), 2017, Vol. 2017, p. 361-364Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we develop a greedy algorithm for sparse learning over a doubly stochastic network. In the proposed algorithm, nodes of the network perform sparse learning by exchanging their individual intermediate variables. The algorithm is iterative in nature. We provide a restricted isometry property (RIP)-based theoretical guarantee both on the performance of the algorithm and the number of iterations required for convergence. Using simulations, we show that the proposed algorithm provides good performance.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. Vol. 2017, p. 361-364
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:kth:diva-224301DOI: 10.23919/EUSIPCO.2017.8081229Scopus ID: 2-s2.0-85041494941ISBN: 9780992862671 OAI: oai:DiVA.org:kth-224301DiVA, id: diva2:1190964
Conference
25th European Signal Processing Conference, EUSIPCO 2017, Kos International Convention CenterKos, Greece, 28 August 2017 through 2 September 2017
Note

QC 20180316

Available from: 2018-03-16 Created: 2018-03-16 Last updated: 2018-03-16Bibliographically approved

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Chatterjee, SaikatRasmussen, Lars Kildehöj

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Zaki, AhmedVenkitaraman, ArunChatterjee, SaikatRasmussen, Lars Kildehöj
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Citation style
  • apa
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More styles
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  • de-DE
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  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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