Privacy-preserving two-parties logistic regression on vertically partitioned data using asynchronous gradient sharing.
Qianjun WeiQiang LiZhipeng ZhouZhengQiang GeYonggang ZhangPublished in: Peer-to-Peer Netw. Appl. (2021)
Keyphrases
- logistic regression
- privacy preserving
- vertically partitioned data
- scalar product
- decision trees
- horizontally partitioned
- privacy preserving data mining
- private information
- data privacy
- privacy preserving association rule mining
- support vector
- multi party
- naive bayes
- partitioned data
- secure multiparty computation
- sensitive information
- private data
- conduct data mining
- horizontally partitioned data
- loss function
- sensitive data
- homomorphic encryption
- information sharing
- privacy concerns
- privacy protection
- preserving privacy
- data sharing
- real world
- differential privacy
- text classification
- data warehouse
- data analysis
- similarity measure