Towards Privacy-Preserving and Verifiable Federated Matrix Factorization.
Xicheng WanYifeng ZhengQun LiAnmin FuMang SuYansong GaoPublished in: CoRR (2022)
Keyphrases
- matrix factorization
- privacy preserving
- collaborative filtering
- vertically partitioned data
- privacy preserving data mining
- low rank
- recommender systems
- negative matrix factorization
- missing data
- privacy preservation
- factorization methods
- nonnegative matrix factorization
- horizontally partitioned data
- multi party
- data privacy
- sensitive information
- data sources
- digital libraries
- private information
- differential privacy
- privacy concerns
- preserving privacy
- privacy preserving association rule mining
- secure multiparty computation
- scalar product
- private data
- privacy sensitive
- privacy protection
- nearest neighbor
- sensitive data
- feature extraction