dsMTL - a computational framework for privacy-preserving, distributed multi-task machine learning
Han Cao, Youcheng Zhang, Jan Baumbach, Paul Robert Burton, Dominic Dwyer, Nikolaos Koutsouleris, Julian Matschinske, Yannick Marcon, Sivanesan Rajan, Thilo Rieg, Patricia Ryser-Welch, Julian Späth, Carl Herrmann, Emanuel Schwarz
The paper introduces dsMTL, a framework for privacy-preserving, distributed multi-task machine learning, and evaluates its performance in identifying biological signatures across distributed datasets.
Bioinformatics · Sep 8, 2022Peer-reviewedBioinformatics