PEPFL: A framework for a practical and efficient privacy-preserving federated learning.
Yange ChenBaocang WangHang JiangPu DuanYuan PingZhiyong HongPublished in: Digit. Commun. Networks (2024)
Keyphrases
- privacy preserving
- privacy preserving data mining algorithms
- multi party
- privacy preserving data mining
- personal data
- data sets
- vertically partitioned data
- data mining
- dimensionality reduction
- real world
- sensitive information
- private information
- privacy protection
- private data
- privacy guarantees
- partitioned data
- privacy sensitive
- databases