SepMM: A General Matrix Multiplication Optimization Approach for Privacy-Preserving Machine Learning.
Tung-Lin TsaiPei-Yuan WuPublished in: DSC (2023)
Keyphrases
- privacy preserving
- machine learning
- privacy preserving data mining
- matrix multiplication
- privacy preservation
- vertically partitioned data
- sensitive information
- multi party
- privacy protection
- data privacy
- data perturbation
- private information
- record linkage
- data publishing
- differential privacy
- privacy concerns
- medical images
- horizontally partitioned data
- privacy preserving association rule mining
- horizontally partitioned
- scalar product
- sensitive data
- decision trees