A Privacy Preserving Scheme with Dimensionality Reduction for Distributed Machine Learning.
Zhaoheng ChenKazumasa OmotePublished in: AsiaJCIS (2021)
Keyphrases
- privacy preserving
- horizontally partitioned data
- dimensionality reduction
- machine learning
- multi party
- horizontally partitioned
- privacy preserving data mining
- privacy sensitive
- privacy preservation
- partitioned data
- pattern recognition
- feature selection
- vertically partitioned data
- privacy preserving classification
- secure multiparty computation
- data perturbation
- distributed systems
- private information
- record linkage
- privacy concerns
- privacy guarantees
- data privacy
- data mining
- sensitive data
- principal component analysis
- privacy protection
- privacy issues
- data analysis
- privacy preserving association rule mining
- high dimensional
- naive bayesian classification
- data points
- high dimensional data
- differential privacy
- distributed environment
- user privacy
- preserving privacy
- peer to peer
- data management
- feature extraction
- scalar product
- knowledge discovery
- data publishing
- high dimensionality
- communication cost