Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention.
Ce JuRuihui ZhaoJichao SunXiguang WeiBo ZhaoYang LiuHongshan LiTianjian ChenXinwei ZhangDashan GaoBen TanHan YuYuan JinPublished in: CoRR (2020)
Keyphrases
- data sources
- privacy preserving
- prediction model
- privacy preserving data mining
- privacy preservation
- regression model
- vertically partitioned data
- multi party
- private information
- data privacy
- record linkage
- neural network
- private data
- privacy protection
- sensitive information
- privacy requirements
- privacy concerns
- preserving privacy
- partitioned data
- exponential smoothing
- privacy preserving association rule mining
- personal data
- naive bayesian classification
- decision trees
- scalar product
- horizontally partitioned
- horizontally partitioned data
- secure multiparty computation
- data perturbation
- privacy guarantees
- differential privacy
- sensitive data
- machine learning