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Oxford University에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Oxford University 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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(Not) Aggregating Data: The Corcoran Memorial Lecture

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Manage episode 284298643 series 1610930
Oxford University에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Oxford University 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Professor Kerrie Mengersen, Distinguished Professor of Statistics at Queensland University of Technology in the Science and Engineering Faculty, gives the The Corcoran Memorial Lecture, held on 21st January 2021. Abstract: The ability to generate, access and combine multiple sources of data presents both opportunity and challenge for statistical science. An exemplar phenomenon is the charge to collate all relevant data for the purposes 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 creating 'the one database to rule them all' are emerging. An appealing approach is the concept of federated learning, also known as distributed analysis, which aims to analyse disparate datasets in situ. In this presentation, I will discuss some case studies that have motivated our interest in federated learning, review the statistical and computational issues involved in the development of such an approach, and outline our recent efforts to understand and implement a federated learning model in the context of the Australian Cancer Atlas.
  continue reading

51 에피소드

Artwork
icon공유
 
Manage episode 284298643 series 1610930
Oxford University에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Oxford University 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Professor Kerrie Mengersen, Distinguished Professor of Statistics at Queensland University of Technology in the Science and Engineering Faculty, gives the The Corcoran Memorial Lecture, held on 21st January 2021. Abstract: The ability to generate, access and combine multiple sources of data presents both opportunity and challenge for statistical science. An exemplar phenomenon is the charge to collate all relevant data for the purposes 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 creating 'the one database to rule them all' are emerging. An appealing approach is the concept of federated learning, also known as distributed analysis, which aims to analyse disparate datasets in situ. In this presentation, I will discuss some case studies that have motivated our interest in federated learning, review the statistical and computational issues involved in the development of such an approach, and outline our recent efforts to understand and implement a federated learning model in the context of the Australian Cancer Atlas.
  continue reading

51 에피소드

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