dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Han Cao, Youcheng Zhang, Jan Baumbach, Paul R. Burton, Dominic B. Dwyer, Nikolaos Koutsouleris, Julian O. Matschinske, Yannick Marcon, Sivanesan Rajan, Thilo Rieg, Patricia Ryser-Welch, Julian Späth, Carl Herrmann, Emanuel Schwarz. dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning. Bioinformatics, 38(21):4919-4926, October 2022. [doi]

This author has not been identified. Look up 'Han Cao' in GoogleThis author has not been identified. Look up 'Youcheng Zhang' in GoogleThis author has not been identified. Look up 'Jan Baumbach' in GoogleThis author has not been identified. Look up 'Paul R. Burton' in GoogleThis author has not been identified. Look up 'Dominic B. Dwyer' in GoogleThis author has not been identified. Look up 'Nikolaos Koutsouleris' in GoogleThis author has not been identified. Look up 'Julian O. Matschinske' in GoogleThis author has not been identified. Look up 'Yannick Marcon' in GoogleThis author has not been identified. Look up 'Sivanesan Rajan' in GoogleThis author has not been identified. Look up 'Thilo Rieg' in GoogleThis author has not been identified. Look up 'Patricia Ryser-Welch' in GoogleThis author has not been identified. Look up 'Julian Späth' in GoogleThis author has not been identified. Look up 'Carl Herrmann' in GoogleThis author has not been identified. Look up 'Emanuel Schwarz' in Google

runs on WebDSL