A Privacy-Preserving Framework for Collaborative Machine Learning with Kernel Methods

Anika Hannemann, Ali Burak Ünal, Arjhun Swaminathan, Erik Buchmann, Mete Akgün. A Privacy-Preserving Framework for Collaborative Machine Learning with Kernel Methods. In 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2023, Atlanta, GA, USA, November 1-4, 2023. pages 82-90, IEEE, 2023. [doi]

@inproceedings{HannemannUSBA23,
  title = {A Privacy-Preserving Framework for Collaborative Machine Learning with Kernel Methods},
  author = {Anika Hannemann and Ali Burak Ünal and Arjhun Swaminathan and Erik Buchmann and Mete Akgün},
  year = {2023},
  doi = {10.1109/TPS-ISA58951.2023.00020},
  url = {https://doi.org/10.1109/TPS-ISA58951.2023.00020},
  researchr = {https://researchr.org/publication/HannemannUSBA23},
  cites = {0},
  citedby = {0},
  pages = {82-90},
  booktitle = {5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2023, Atlanta, GA, USA, November 1-4, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-2385-6},
}