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dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning
Author(s) -
Han Cao,
Youcheng Zhang,
Jan Baumbach,
Paul R. Burton,
Dominic Dwyer,
Nikolaos Koutsouleris,
Julian Matschinske,
Yannick Marcon,
Sivanesan Rajan,
Thilo Rieg,
Patricia Ryser-Welch,
Julian Späth,
Carl Herrmann,
Emanuel Schwarz
Publication year - 2022
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btac616
Subject(s) - computer science , machine learning , scalability , workflow , artificial intelligence , task (project management) , software , source code , big data , data mining , database , management , economics , programming language , operating system

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