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X-ORIGINAL-URL:https://wp.doc.ic.ac.uk/hipeds
X-WR-CALDESC:Events for HiPEDS – EPSRC Centre for Doctoral Training
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DTSTART:20170101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20180119T120000
DTEND;TZID=UTC:20180119T130000
DTSTAMP:20260410T035532
CREATED:20180420T140801Z
LAST-MODIFIED:20180420T140801Z
UID:1813-1516363200-1516366800@wp.doc.ic.ac.uk
SUMMARY:HiPEDS Seminar: Distributed Private Data Collection at Scale
DESCRIPTION:Abstract: \nLarge technology companies rely on collecting data from their users to understand their interests\, and better customize the company’s products. Increasingly\, this must be done while preserving individual users’ privacy.  Recently\, techniques based on radomization and data sketching have been adopted to provide data collection protocols which optimize the privacy accuracy trade-off.  In this talk\, I’ll discuss methods deployed by Google and Apple to collect frequency information\, and our recent work to monitor information on correlations in the data. \nBio: \nGraham Cormode a Professor in Computer Science at the University of Warwick in the UK\, where he work on research topics in data management\, privacy and big data analysis. Previously\, he was a principal member of technical staff at AT&T Labs-Research.  He is a University Liaison Director at the Alan Turing Institute\, and in 2017 he was the co-recipient of Adams Prize for Mathematics for his work on Statistical Analysis of Big Data.
URL:https://wp.doc.ic.ac.uk/hipeds/event/hipeds-seminar-distributed-private-data-collection-at-scale/
LOCATION:Huxley Building Room 218\, Imperial College London\, London\, SW7 2AZ\, United Kingdom
ORGANIZER;CN="Giannis Evagorou":MAILTO:g.evagorou15@imperial.ac.uk
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