Using Robust Estimation Theory to Design Efficient Secure Multiparty Linear Regression

Fida Kamal Dankar, Sabri Boughorbel, Radja Badji. Using Robust Estimation Theory to Design Efficient Secure Multiparty Linear Regression. In Themis Palpanas, Kostas Stefanidis, editors, Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference, EDBT/ICDT Workshops 2016, Bordeaux, France, March 15, 2016. Volume 1558 of CEUR Workshop Proceedings, CEUR-WS.org, 2016. [doi]

@inproceedings{DankarBB16,
  title = {Using Robust Estimation Theory to Design Efficient Secure Multiparty Linear Regression},
  author = {Fida Kamal Dankar and Sabri Boughorbel and Radja Badji},
  year = {2016},
  url = {http://ceur-ws.org/Vol-1558/paper33.pdf},
  researchr = {https://researchr.org/publication/DankarBB16},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference, EDBT/ICDT Workshops 2016, Bordeaux, France, March 15, 2016},
  editor = {Themis Palpanas and Kostas Stefanidis},
  volume = {1558},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}