Cloud-Based Outsourcing for Enabling Privacy-Preserving Large-Scale Non-Negative Matrix Factorization.
Anmin FuZhenzhu ChenYi MuWilly SusiloYinxia SunJie WuPublished in: IEEE Trans. Serv. Comput. (2022)
Keyphrases
- data sets
- privacy preserving
- negative matrix factorization
- privacy preserving data mining
- matrix factorization
- vertically partitioned data
- privacy preservation
- sparse representation
- real world
- privacy concerns
- private information
- document clustering
- multi party
- principal component analysis
- data privacy
- privacy protection
- sensitive information
- spectral clustering
- private data
- scalar product
- privacy preserving association rule mining
- cloud computing
- privacy issues
- data mining
- privacy sensitive
- service providers
- collaborative filtering
- pattern recognition
- secure multiparty computation