Efficient privacy-preserving Gaussian process via secure multi-party computation.
Shiyu LiuJinglong LuoYehong ZhangHui WangYue YuZenglin XuPublished in: J. Syst. Archit. (2024)
Keyphrases
- privacy preserving
- gaussian process
- scalar product
- privacy preserving data mining
- privacy preservation
- secure multi party computation
- vertically partitioned data
- homomorphic encryption
- data privacy
- regression model
- bayesian framework
- private information
- differential privacy
- multi party
- privacy protection
- privacy concerns
- data mining
- sensitive information
- hyperparameters
- model selection
- latent variables
- machine learning