Differentially private Bayesian learning on distributed data

Mikko Heikkilä, Eemil Lagerspetz, Samuel Kaski, Kana Shimizu, Sasu Tarkoma, Antti Honkela. Differentially private Bayesian learning on distributed data. In Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, Roman Garnett, editors, Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA. pages 3229-3238, 2017. [doi]

@inproceedings{HeikkilaLKSTH17,
  title = {Differentially private Bayesian learning on distributed data},
  author = {Mikko Heikkilä and Eemil Lagerspetz and Samuel Kaski and Kana Shimizu and Sasu Tarkoma and Antti Honkela},
  year = {2017},
  url = {http://papers.nips.cc/paper/6915-differentially-private-bayesian-learning-on-distributed-data},
  researchr = {https://researchr.org/publication/HeikkilaLKSTH17},
  cites = {0},
  citedby = {0},
  pages = {3229-3238},
  booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA},
  editor = {Isabelle Guyon and Ulrike von Luxburg and Samy Bengio and Hanna M. Wallach and Rob Fergus and S. V. N. Vishwanathan and Roman Garnett},
}