Differentially private Bayesian learning on distributed data.

Mikko A. Heikkilä Eemil Lagerspetz Samuel Kaski Kana Shimizu Sasu Tarkoma Antti Honkela

Published in: NIPS (2017)

Keyphrases

bayesian learning
distributed data
differentially private
differential privacy
data sharing
model selection

data privacy
data distribution
communication cost
posterior distribution
data mining algorithms
databases

privacy concerns
data streams
file system
sensitive data
information sharing

privacy preserving
peer to peer
search engine
machine learning
real world