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  SplitX: High-performance Private Analytics

Chen, R., Akkus, I. E., & Francis, P. (2013). SplitX: High-performance Private Analytics. In SIGCOMM'13 (pp. 315-326). New York, NY: ACM. doi:10.1145/2486001.2486013.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0028-19DF-6 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0028-19E0-D
Genre: Conference Paper
Latex : SplitX: {H}igh-performance Private Analytics

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 Creators:
Chen, Ruichuan1, Author           
Akkus, Istemi Ekin2, Author           
Francis, Paul2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Group P. Francis, Max Planck Institute for Software Systems, Max Planck Society, ou_2105288              

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Language(s): eng - English
 Dates: 20132013
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Internal
 Identifiers: eDoc: 688249
DOI: 10.1145/2486001.2486013
 Degree: -

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Title: SIGCOMM 2013
Place of Event: Hong Kong, China
Start-/End Date: 2013-08-12 - 2013-08-16

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Title: SIGCOMM'13
  Subtitle : Proceedings of the ACM SIGCOMM 2013 Conference Applications, Technologies, Architectures, and Protocols for Computer Communication
  Abbreviation : SIGCOMM 2013
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 315 - 326 Identifier: ISBN: 978-1-4503-2056-6