RecUP-FL: Reconciling Utility and Privacy in Federated learning via User-configurable Privacy Defense.
Yue CuiSyed Irfan Ali MeerzaZhuohang LiLuyang LiuJiaxin ZhangJian LiuPublished in: AsiaCCS (2023)
Keyphrases
- differential privacy
- privacy preserving
- learning algorithm
- learning process
- end users
- learning systems
- private information
- personal information
- user interaction
- collaborative filtering
- privacy requirements
- private data
- prior knowledge
- security issues
- digital libraries
- supervised learning
- information loss
- data anonymization
- data security
- reinforcement learning
- statistical databases
- sensitive information
- recommender systems
- learning tasks
- utility function
- machine learning
- anomaly detection
- fuzzy logic
- online learning
- distributed systems