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

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]

@article{CaoZBBDKMMRRRSHS22,
  title = {dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning},
  author = {Han Cao and Youcheng Zhang and Jan Baumbach and Paul R. Burton and Dominic B. Dwyer and Nikolaos Koutsouleris and Julian O. Matschinske and Yannick Marcon and Sivanesan Rajan and Thilo Rieg and Patricia Ryser-Welch and Julian Späth and Carl Herrmann and Emanuel Schwarz},
  year = {2022},
  month = {October},
  doi = {10.1093/bioinformatics/btac616},
  url = {https://doi.org/10.1093/bioinformatics/btac616},
  researchr = {https://researchr.org/publication/CaoZBBDKMMRRRSHS22},
  cites = {0},
  citedby = {0},
  journal = {Bioinformatics},
  volume = {38},
  number = {21},
  pages = {4919-4926},
}