Cheap checking for cloud computing : statistical analysis via annotated data streams

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Abstract

As the popularity of outsourced computation increases, questions of accuracy and trust between the client and the cloud computing services become ever more relevant. Our work aims to provide fast and practical methods to verify analysis of large data sets, where the client’s computation and memory costs are kept to a minimum. Our verification protocols are based on defining “proofs” which are easy to create and check. These add only a small overhead to reporting the result of the computation itself. We build up a series of protocols for elementary statistical methods, to create more complex protocols for Ordinary Least Squares, Principal Component Analysis and Linear Discriminant Analysis, and show them to be very efficient in practice.

Item Type: Conference Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH): Cloud computing, Big data, Data mining, Electronic data processing
Journal or Publication Title: Proceedings of the 21st International Conference on Artificial Intelligence and Statistics
Official Date: 1 January 2018
Dates:
Date
Event
1 January 2018
Accepted
Volume: 84
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 27 February 2018
Date of first compliant Open Access: 28 February 2018
RIOXX Funder/Project Grant:
Project/Grant ID
RIOXX Funder Name
Funder ID
ERC-2014-CoG 647557
H2020 European Research Council
Conference Paper Type: Paper
Title of Event: The 21st International Conference on Artificial Intelligence and Statistics
Type of Event: Conference
Location of Event: Playa Blanca, Lanzarote, Canary Islands
Date(s) of Event: 9-11 Apr 2018
Related URLs:
Persistent URL: https://wrap.warwick.ac.uk/99395/

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