Secure SVM Training Over Vertically-Partitioned Datasets Using Consortium Blockchain for Vehicular Social Networks.
Meng ShenJie ZhangLiehuang ZhuKe XuXiangyun TangPublished in: IEEE Trans. Veh. Technol. (2020)
Keyphrases
- vertically partitioned
- vertically partitioned data
- privacy preserving
- svm training
- social networks
- data privacy
- neural network
- support vector machine
- generalization ability
- privacy preserving data mining
- svm classification
- support vectors
- sensitive data
- social networking
- private information
- decomposition method
- imbalanced data
- training procedure
- feature extraction
- decision trees
- data sets