FedNCF: Federated Neural Collaborative Filtering for Privacy-preserving Recommender System.
Xueyong JiangBaisong LiuJiangcheng QinYunchong ZhangJiangbo QianPublished in: IJCNN (2022)
Keyphrases
- privacy preserving
- recommender systems
- collaborative filtering
- privacy preservation
- matrix factorization
- vertically partitioned data
- privacy preserving data mining
- user preferences
- cold start problem
- horizontally partitioned data
- data privacy
- recommendation quality
- privacy protection
- user profiles
- scalar product
- recommendation systems
- cold start
- sensitive information
- digital libraries
- data sparsity
- multi party
- collaborative filtering algorithms
- secure multiparty computation
- privacy concerns
- privacy guarantees
- sensitive data
- record linkage
- preserving privacy
- data perturbation
- data sources
- privacy preserving classification
- private data
- differential privacy
- horizontally partitioned
- private information
- product recommendation