ACCEL: an efficient and privacy-preserving federated logistic regression scheme over vertically partitioned data.
Jiaqi ZhaoHui ZhuFengwei WangRongxing LuHui LiZhongmin ZhouHaitao WanPublished in: Sci. China Inf. Sci. (2022)
Keyphrases
- logistic regression
- vertically partitioned data
- privacy preserving
- horizontally partitioned data
- scalar product
- privacy preserving data mining
- data privacy
- decision trees
- privacy preserving association rule mining
- support vector
- naive bayes
- loss function
- sensitive information
- private information
- privacy concerns
- secure multiparty computation
- privacy protection
- sensitive data
- data sets
- database applications
- databases