CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning.
Jinhyun SoBasak GulerAmir Salman AvestimehrPayman MohasselPublished in: CoRR (2019)
Keyphrases
- privacy preserving
- machine learning
- multi party
- partitioned data
- privacy preservation
- privacy preserving data mining
- privacy preserving data mining algorithms
- horizontally partitioned
- horizontally partitioned data
- privacy sensitive
- vertically partitioned data
- distributed environment
- data analysis
- distributed data mining
- privacy preserving classification
- feature selection
- privacy protection
- sensitive data
- data mining
- medical data
- scalar product
- naive bayesian classification
- privacy concerns
- privacy preserving association rule mining
- distributed data