LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization.
Honglei ZhangFangyuan LuoJun WuXiangnan HeYidong LiPublished in: ACM Trans. Inf. Syst. (2023)
Keyphrases
- lightweight
- privacy preserving
- matrix factorization
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- latent factor models
- privacy preserving data mining
- vertically partitioned data
- privacy preservation
- low rank
- factorization methods
- nonnegative matrix factorization
- recommendation systems
- user preferences
- data privacy
- sensitive information
- privacy protection
- data sources
- privacy concerns
- multi party
- missing data
- differential privacy
- authentication protocol
- decision trees
- latent factors
- private information
- tensor factorization
- distributed data
- wireless sensor networks
- secure multiparty computation