DeFed: A Principled Decentralized and Privacy-Preserving Federated Learning Algorithm.
Ye YuanRuijuan ChenChuan SunMaolin WangFeng HuaXinlei YiTao YangJun LiuPublished in: CoRR (2021)
Keyphrases
- privacy preserving
- learning algorithm
- privacy preserving data mining
- privacy preservation
- distributed systems
- vertically partitioned data
- secure multiparty computation
- multi party
- data privacy
- sensitive information
- record linkage
- peer to peer
- machine learning
- learning rate
- private information
- data transformation
- digital libraries
- data perturbation
- private data
- privacy guarantees
- privacy concerns
- privacy preserving classification
- differential privacy
- privacy issues
- privacy requirements
- scalar product
- horizontally partitioned data
- preserving privacy
- data publishing
- sensitive data
- privacy protection
- personal information
- support vector