BEGIN:VCALENDAR
VERSION:2.0
PRODID:talks.ox.ac.uk
BEGIN:VEVENT
SUMMARY:(Not) Aggregating Data - Professor Kerrie Mengersen (Queensland Un
 iversity of Technology in the Science and Engineering Faculty)
DTSTART;VALUE=DATE-TIME:20210121T100000Z
DTEND;VALUE=DATE-TIME:20210121T110000Z
UID:https://new.talks.ox.ac.uk/talks/id/36e8605e-5a6a-4da6-ba66-ecfce9454d
 92/
DESCRIPTION:The ability to generate\, access and combine multiple sources 
 of data presents both opportunity and challenge for statistical science. A
 n exemplar phenomenon is the charge to collate all relevant data for the p
 urposes of comprehensive control and analysis. However\, this ambition is 
 often thwarted by the relentless expansion in volume of data\, as well as 
 issues of data provenance\, privacy and governance. Alternatives to creati
 ng ‘the one database to rule them all’ are emerging. An appealing appr
 oach is the concept of federated learning\, also known as distributed anal
 ysis\, which aims to analyse disparate datasets in situ. In this presentat
 ion\, I will discuss some case studies that have motivated our interest in
  federated learning\, review the statistical and computational issues invo
 lved in the development of such an approach\, and outline our recent effor
 ts to understand and implement a federated learning model in the context o
 f the Australian Cancer Atlas.\nSpeakers:\nProfessor Kerrie Mengersen (Que
 ensland University of Technology in the Science and Engineering Faculty)
LOCATION:Venue to be announced
TZID:Europe/London
URL:https://new.talks.ox.ac.uk/talks/id/36e8605e-5a6a-4da6-ba66-ecfce9454d
 92/
BEGIN:VALARM
ACTION:display
DESCRIPTION:Talk:(Not) Aggregating Data - Professor Kerrie Mengersen (Quee
 nsland University of Technology in the Science and Engineering Faculty)
TRIGGER:-PT1H
END:VALARM
END:VEVENT
END:VCALENDAR