A privacy-preserving and non-interactive federated learning scheme for regression training with gradient descent.
Fengwei WangHui ZhuRongxing LuYandong ZhengHui LiPublished in: Inf. Sci. (2021)
Keyphrases
- reproducing kernel hilbert space
- loss function
- privacy preserving
- learning scheme
- privacy preserving data mining
- privacy preservation
- learning algorithm
- vertically partitioned data
- support vector
- sensitive information
- private information
- multi party
- data privacy
- privacy protection
- partitioned data
- horizontally partitioned data
- training set
- sensitive data
- privacy concerns
- private data
- record linkage
- data perturbation
- preserving privacy
- privacy issues
- differential privacy
- privacy preserving classification
- privacy sensitive
- privacy guarantees
- homomorphic encryption
- scalar product
- machine learning
- horizontally partitioned
- distributed data