Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System

Jorge M. Cortés-Mendoza, Andrei Tchernykh, Mikhail G. Babenko, Luis Bernardo Pulido-Gaytan, Gleb I. Radchenko, Franck Leprévost, Xinheng Wang 0001, Arutyun Avetisyan. Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System. In Vladimir V. Voevodin, Sergey Sobolev, editors, Supercomputing - 6th Russian Supercomputing Days, RuSCDays 2020, Moscow, Russia, September 21-22, 2020, Revised Selected Papers. Volume 1331 of Communications in Computer and Information Science, pages 598-610, Springer, 2020. [doi]

@inproceedings{Cortes-MendozaT20,
  title = {Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System},
  author = {Jorge M. Cortés-Mendoza and Andrei Tchernykh and Mikhail G. Babenko and Luis Bernardo Pulido-Gaytan and Gleb I. Radchenko and Franck Leprévost and Xinheng Wang 0001 and Arutyun Avetisyan},
  year = {2020},
  doi = {10.1007/978-3-030-64616-5_51},
  url = {https://doi.org/10.1007/978-3-030-64616-5_51},
  researchr = {https://researchr.org/publication/Cortes-MendozaT20},
  cites = {0},
  citedby = {0},
  pages = {598-610},
  booktitle = {Supercomputing - 6th Russian Supercomputing Days, RuSCDays 2020, Moscow, Russia, September 21-22, 2020, Revised Selected Papers},
  editor = {Vladimir V. Voevodin and Sergey Sobolev},
  volume = {1331},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-64616-5},
}