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dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning.
Cao, Han; Zhang, Youcheng; Baumbach, Jan; Burton, Paul R; Dwyer, Dominic; Koutsouleris, Nikolaos; Matschinske, Julian; Marcon, Yannick; Rajan, Sivanesan; Rieg, Thilo; Ryser-Welch, Patricia; Späth, Julian; Herrmann, Carl; Schwarz, Emanuel.
Afiliación
  • Cao H; Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim 68158, Germany.
  • Zhang Y; Health Data Science Unit, Medical Faculty Heidelberg & BioQuant, Heidelberg 69120, Germany.
  • Baumbach J; Chair of Computational Systems Biology, University of Hamburg, Hamburg 22607, Germany.
  • Burton PR; Computational Biomedicine Lab, Department of Mathematics and Computer Science, University of Southern Denmark, Odense 5230, Denmark.
  • Dwyer D; Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE2 4AX, UK.
  • Koutsouleris N; Department of Psychiatry and Psychotherapy, Section for Neurodiagnostic Applications, Ludwig-Maximilian University, Munich 80638, Germany.
  • Matschinske J; Department of Psychiatry and Psychotherapy, Section for Neurodiagnostic Applications, Ludwig-Maximilian University, Munich 80638, Germany.
  • Marcon Y; Chair of Computational Systems Biology, University of Hamburg, Hamburg 22607, Germany.
  • Rajan S; Epigeny, St Ouen, France.
  • Rieg T; Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim 68158, Germany.
  • Ryser-Welch P; Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim 68158, Germany.
  • Späth J; Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE2 4AX, UK.
  • Schwarz E; Health Data Science Unit, Medical Faculty Heidelberg & BioQuant, Heidelberg 69120, Germany.
Bioinformatics ; 38(21): 4919-4926, 2022 10 31.
Article en En | MEDLINE | ID: mdl-36073911
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Privacidad / Aprendizaje Automático Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Privacidad / Aprendizaje Automático Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article