A Local Distributed Peer-to-Peer Algorithm Using Multi-Party Optimization Based Privacy Preservation for Data Mining Primitive Computation

Kamalika Das, Kanishka Bhaduri, Hillol Kargupta. A Local Distributed Peer-to-Peer Algorithm Using Multi-Party Optimization Based Privacy Preservation for Data Mining Primitive Computation. In Henning Schulzrinne, Karl Aberer, Anwitaman Datta, editors, Proceedings P2P 2009, Ninth International Conference on Peer-to-Peer Computing, 9-11 September 2009, Seattle, Washington, USA. pages 212-221, IEEE, 2009. [doi]

@inproceedings{DasBK09,
  title = {A Local Distributed Peer-to-Peer Algorithm Using Multi-Party Optimization Based Privacy Preservation for Data Mining Primitive Computation},
  author = {Kamalika Das and Kanishka Bhaduri and Hillol Kargupta},
  year = {2009},
  doi = {10.1109/P2P.2009.5284514},
  url = {http://dx.doi.org/10.1109/P2P.2009.5284514},
  tags = {optimization, rule-based, p2p, source-to-source, peer-to-peer, open-source},
  researchr = {https://researchr.org/publication/DasBK09},
  cites = {0},
  citedby = {0},
  pages = {212-221},
  booktitle = {Proceedings P2P 2009, Ninth International Conference on Peer-to-Peer Computing, 9-11 September 2009, Seattle, Washington, USA},
  editor = {Henning Schulzrinne and Karl Aberer and Anwitaman Datta},
  publisher = {IEEE},
}