Differentially private Bayesian learning on distributed data.
Mikko A. HeikkiläEemil LagerspetzSamuel KaskiKana ShimizuSasu TarkomaAntti HonkelaPublished 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