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X-WR-CALNAME:Large-scale federated and privacy-preserving Evaluation &amp\;
  Analysis Platform (LEAP) - Aline Talhouk\, Assistant Professor\, UBC
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TZID:America/Vancouver
TZUNTIL:20211107T090000Z
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DTSTART:20191103T020000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RDATE:20201101T020000
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RDATE:20210314T020000
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DTSTAMP:20260418T025744Z
CLASS:PUBLIC
CREATED:20200121T192734Z
DESCRIPTION:Abstract: Background: Learning from medical data can enable per
 sonalization of patient treatment and improve understanding of disease. He
 alth data are naturally distributed across institutions\, but traditionall
 y had to be centralized to allow analysis. Broad and indiscriminate data c
 entralization is not only inefficient\, but also at odds with patient priv
 acy\, and thus constitutes a barrier to machine learning and analytics of 
 health data. Objectives: We propose LEAP\, a socio-technical solution to a
 nalyze distributed medical data\, while guaranteeing patient privacy. LEAP
  combines innovations in…
DTSTART;TZID=America/Vancouver:20200124T130000
DTEND;TZID=America/Vancouver:20200124T140000
LAST-MODIFIED:20210611T165517Z
LOCATION:ANGU 037 - 2053 Main Mall\, Vancouver\, BC V6T 1Z2
SUMMARY:Large-scale federated and privacy-preserving Evaluation & Analysis 
 Platform (LEAP) - Aline Talhouk\, Assistant Professor\, UBC
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/large-scale-federated-and-privacy-preserving
 -evaluation-analysis-platform-leap-aline-talhouk
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