Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent.
Erik-Jan van KesterenChang SunDaniel L. OberskiMichel DumontierLianne IppelPublished in: CoRR (2019)
Keyphrases
- privacy preserving
- generalized linear models
- horizontally partitioned data
- horizontally partitioned
- partitioned data
- multi party
- privacy sensitive
- privacy preserving data mining
- privacy preservation
- vertically partitioned data
- regression model
- logistic regression
- secure multiparty computation
- private information
- privacy preserving classification
- preserving privacy
- distributed systems
- sensitive information
- data privacy
- data perturbation
- privacy protection
- regression methods
- privacy issues
- privacy requirements
- sensitive data
- privacy concerns
- privacy preserving association rule mining
- linear regression
- data integration
- peer to peer
- feature selection