LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization.
Honglei ZhangFangyuan LuoJun WuXiangnan HeYidong LiPublished in: CoRR (2022)
Keyphrases
- lightweight
- privacy preserving
- matrix factorization
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- latent factor models
- recommendation systems
- privacy preserving data mining
- vertically partitioned data
- low rank
- privacy preservation
- sensitive information
- factorization methods
- multi party
- nonnegative matrix factorization
- private information
- user preferences
- tensor factorization
- privacy protection
- privacy concerns
- differential privacy
- data privacy
- rfid tags
- secure multiparty computation
- mashup
- data mining
- missing data
- data sources
- wireless sensor networks
- mobile devices
- face recognition
- social networks