Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection.
Swanand Ravindra KadheHeiko LudwigNathalie BaracaldoAlan KingYi ZhouKeith HouckAmbrish RawatMark PurcellNaoise HolohanMikio TakeuchiRyo KawaharaNir DruckerHayim ShaulEyal KushnirOmri SoceanuPublished in: CoRR (2023)
Keyphrases
- privacy preserving
- anomaly detection
- horizontally partitioned data
- connectionist systems
- privacy preserving data mining
- privacy preservation
- network traffic
- vertically partitioned data
- private information
- intrusion detection
- unsupervised learning
- network intrusion detection
- detecting anomalies
- learning algorithm
- privacy protection
- network anomaly detection
- reinforcement learning
- sensitive information
- anomalous behavior
- active learning
- information systems
- pattern recognition
- data mining
- supervised learning
- data management