Privacy-Preserving Distributed Linear Regression on High-Dimensional Data.
Adrià GascónPhillipp SchoppmannBorja BalleMariana RaykovaJack DoernerSamee ZahurDavid EvansPublished in: Proc. Priv. Enhancing Technol. (2017)
Keyphrases
- privacy preserving
- high dimensional data
- linear regression
- horizontally partitioned data
- regression problems
- horizontally partitioned
- multi party
- partitioned data
- least squares
- privacy sensitive
- dimensionality reduction
- high dimensional
- low dimensional
- privacy preserving data mining
- nearest neighbor
- high dimensionality
- data sets
- subspace clustering
- vertically partitioned data
- data points
- privacy preservation
- data analysis
- similarity search
- secure multiparty computation
- data privacy
- original data
- private information
- preserving privacy
- sensitive information
- dimension reduction
- data distribution
- privacy concerns
- input space
- distributed data
- input data
- feature space
- variable selection
- sparse representation
- medical images
- real world
- database systems
- neural network
- machine learning
- face recognition
- pattern recognition
- training set
- image data
- support vector machine
- principal component analysis
- linear discriminant analysis