NPMML: A Framework for Non-Interactive Privacy-Preserving Multi-Party Machine Learning.
Tong LiJin LiXiaofeng ChenZheli LiuWenjing LouY. Thomas HouPublished in: IEEE Trans. Dependable Secur. Comput. (2021)
Keyphrases
- privacy preserving
- multi party
- machine learning
- privacy preserving data mining
- vertically partitioned data
- privacy guarantees
- privacy preservation
- data privacy
- privacy preserving distributed data mining
- private information
- privacy concerns
- privacy sensitive
- record linkage
- sensitive information
- privacy preserving association rule mining
- private data
- preserving privacy
- naive bayesian classification
- privacy protection
- differential privacy
- personal information
- data perturbation
- multi agent systems
- partitioned data
- decision trees