An efficient approach for privacy preserving decentralized deep learning models based on secure multi-party computation.
Anh-Tu TranThe-Dung LuongJessada KarnjanaVan-Nam HuynhPublished in: Neurocomputing (2021)
Keyphrases
- learning models
- privacy preserving
- scalar product
- secure multi party computation
- vertically partitioned data
- privacy preserving data mining
- machine learning
- learning tasks
- loss function
- learning algorithm
- homomorphic encryption
- privacy preservation
- machine learning algorithms
- private information
- learning problems
- semi supervised learning
- differential privacy
- data privacy
- privacy concerns
- multi party
- semi honest
- peer to peer
- sensitive information
- sensitive data
- feature space
- pairwise
- image classification
- privacy protection