Privacy-Preserving Gradient Descent for Distributed Genome-Wide Analysis

Yanjun Zhang, Guangdong Bai, Xue Li 0001, Caitlin Curtis, Chen Chen 0056, Ryan K. L. Ko. Privacy-Preserving Gradient Descent for Distributed Genome-Wide Analysis. In Elisa Bertino, Haya Shulman, Michael Waidner, editors, Computer Security - ESORICS 2021 - 26th European Symposium on Research in Computer Security, Darmstadt, Germany, October 4-8, 2021, Proceedings, Part II. Volume 12973 of Lecture Notes in Computer Science, pages 395-416, Springer, 2021. [doi]

@inproceedings{ZhangBLCCK21,
  title = {Privacy-Preserving Gradient Descent for Distributed Genome-Wide Analysis},
  author = {Yanjun Zhang and Guangdong Bai and Xue Li 0001 and Caitlin Curtis and Chen Chen 0056 and Ryan K. L. Ko},
  year = {2021},
  doi = {10.1007/978-3-030-88428-4_20},
  url = {https://doi.org/10.1007/978-3-030-88428-4_20},
  researchr = {https://researchr.org/publication/ZhangBLCCK21},
  cites = {0},
  citedby = {0},
  pages = {395-416},
  booktitle = {Computer Security - ESORICS 2021 - 26th European Symposium on Research in Computer Security, Darmstadt, Germany, October 4-8, 2021, Proceedings, Part II},
  editor = {Elisa Bertino and Haya Shulman and Michael Waidner},
  volume = {12973},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-88428-4},
}