FedG2L: a privacy-preserving federated learning scheme base on "G2L" against poisoning attack.
Mengfan XuXinghua LiPublished in: Connect. Sci. (2023)
Keyphrases
- privacy preserving
- learning scheme
- privacy preserving data mining
- privacy preservation
- learning algorithm
- multi party
- privacy sensitive
- vertically partitioned data
- private information
- privacy concerns
- data privacy
- privacy protection
- digital libraries
- private data
- privacy issues
- sensitive information
- record linkage
- homomorphic encryption
- sensitive data
- preserving privacy
- data perturbation
- partitioned data
- naive bayesian classification
- feature space
- horizontally partitioned data
- privacy guarantees
- intrusion detection
- secure multiparty computation
- privacy preserving association rule mining