Preserving privacy between features in distributed estimation
dc.contributor.author
Heinze-Deml, Christina
dc.contributor.author
McWilliams, Brian
dc.contributor.author
Meinshausen, Nicolai
dc.date.accessioned
2018-11-21T08:45:00Z
dc.date.available
2018-11-19T13:32:53Z
dc.date.available
2018-11-21T08:45:00Z
dc.date.issued
2018
dc.identifier.issn
2049-1573
dc.identifier.other
10.1002/sta4.189
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/304624
dc.language.iso
en
en_US
dc.publisher
Wiley
en_US
dc.subject
high‐dimensional data
en_US
dc.subject
large and complex data sets
en_US
dc.subject
machine learning
en_US
dc.subject
statistical learning
en_US
dc.title
Preserving privacy between features in distributed estimation
en_US
dc.type
Journal Article
dc.date.published
2018-07-04
ethz.journal.title
Stat
ethz.journal.volume
7
en_US
ethz.journal.issue
1
en_US
ethz.journal.abbreviated
Stat
ethz.pages.start
e189
en_US
ethz.size
14 p.
en_US
ethz.identifier.wos
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02000 - Dep. Mathematik / Dep. of Mathematics::02537 - Seminar für Statistik (SfS) / Seminar for Statistics (SfS)::03990 - Meinshausen, Nicolai / Meinshausen, Nicolai
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02000 - Dep. Mathematik / Dep. of Mathematics::02537 - Seminar für Statistik (SfS) / Seminar for Statistics (SfS)::03990 - Meinshausen, Nicolai / Meinshausen, Nicolai
en_US
ethz.date.deposited
2018-11-19T13:33:12Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2018-11-21T08:45:09Z
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2019-02-03T08:50:10Z
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true
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Journal Article [135906]