Practical and Efficient Secure Aggregation for Privacy-Preserving Machine Learning.
Yuqi ZhangXiangyang LiQingcai LuoYang WangYanzhao ShenPublished in: AIMLR (2023)
Keyphrases
- privacy preserving
- vertically partitioned data
- machine learning
- scalar product
- multi party
- horizontally partitioned data
- sensitive data
- secure multi party computation
- privacy preserving data mining
- privacy preservation
- privacy preserving data mining algorithms
- secure multiparty computation
- homomorphic encryption
- data privacy
- user privacy
- private information
- record linkage
- horizontally partitioned
- sensitive information
- privacy protection
- privacy preserving classification
- data mining
- naive bayesian classification
- privacy concerns
- data perturbation
- privacy issues
- differential privacy
- preserving privacy
- privacy requirements
- knowledge discovery
- privacy guarantees
- privacy preserving association rule mining
- decision trees
- provide efficient solutions