L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework
dc.contributor.author
Smith, Virgina
dc.contributor.author
Forte, Simone
dc.contributor.author
Jordan, Michael I.
dc.contributor.author
Jaggi, Martin
dc.date.accessioned
2020-05-25T04:40:36Z
dc.date.available
2017-06-11T23:10:38Z
dc.date.available
2020-05-25T04:40:36Z
dc.date.issued
2015-12-13
dc.identifier.uri
http://hdl.handle.net/20.500.11850/110489
dc.language.iso
en
en_US
dc.publisher
Cornell University
en_US
dc.title
L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework
en_US
dc.type
Working Paper
ethz.journal.title
arXiv
ethz.pages.start
1512.04011
en_US
ethz.size
23 p.
en_US
ethz.identifier.arxiv
1512.04011
ethz.publication.place
Ithaca, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::09462 - Hofmann, Thomas / Hofmann, Thomas
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::09462 - Hofmann, Thomas / Hofmann, Thomas
ethz.date.deposited
2017-06-11T23:11:43Z
ethz.source
ECIT
ethz.identifier.importid
imp593653f505d5086666
ethz.ecitpid
pub:171726
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-12T23:36:21Z
ethz.rosetta.lastUpdated
2020-05-25T04:40:45Z
ethz.rosetta.versionExported
true
ethz.COinS
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Working Paper [5323]