PrivateDL PrivateDL : Privacy-preserving collaborative deep learning against leakage from gradient sharing.
Qi ZhaoChuan ZhaoShujie CuiShan JingZhenxiang ChenPublished in: Int. J. Intell. Syst. (2020)
Keyphrases
- privacy preserving
- deep learning
- privacy preserving data mining
- vertically partitioned data
- unsupervised learning
- multi party
- privacy preservation
- sensitive information
- private information
- machine learning
- horizontally partitioned data
- privacy sensitive
- scalar product
- information sharing
- weakly supervised
- data privacy
- privacy concerns
- data sharing
- private data
- preserving privacy
- secure multiparty computation
- privacy preserving association rule mining
- multiscale
- mental models
- differential privacy
- image features
- data sources
- support vector