Decentralised, collaborative, and privacy-preserving machine learning for multi-hospital data.
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| Title: | Decentralised, collaborative, and privacy-preserving machine learning for multi-hospital data. |
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| Authors: | Fang C; Department of Computer Science, University of Toronto, Canada; Peter Munk Cardiac Centre, University Health Network, Canada; Vector Institute, Toronto, Canada., Dziedzic A; Vector Institute, Toronto, Canada; CISPA Helmholtz Center for Information Security, Germany; Department of Electrical and Computer Engineering, University of Toronto, Canada., Zhang L; Peter Munk Cardiac Centre, University Health Network, Canada; Simon Fraser University, Canada., Oliva L; Peter Munk Cardiac Centre, University Health Network, Canada., Verma A; St. Michael's Hospital, Unity Health Toronto, Canada; Department of Medicine, University of Toronto, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Canada., Razak F; St. Michael's Hospital, Unity Health Toronto, Canada; Department of Medicine, University of Toronto, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Canada., Papernot N; Department of Computer Science, University of Toronto, Canada; Vector Institute, Toronto, Canada; Department of Electrical and Computer Engineering, University of Toronto, Canada. Electronic address: nicolas.papernot@utoronto.ca., Wang B; Department of Computer Science, University of Toronto, Canada; Peter Munk Cardiac Centre, University Health Network, Canada; Vector Institute, Toronto, Canada; Department of Laboratory Medicine and Pathobiology, Temerty Faculty of Medicine, University of Toronto, Canada. Electronic address: bowang@vectorinstitute.ai. |
| Source: | EBioMedicine [EBioMedicine] 2024 Mar; Vol. 101, pp. 105006. Date of Electronic Publication: 2024 Feb 19. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101647039 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2352-3964 (Electronic) Linking ISSN: 23523964 NLM ISO Abbreviation: EBioMedicine Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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