HiFraud: Hierarchical Privacy-Preserving Federated Learning with Star-Chain Knowledge Transfer for Cross-Institutional Fraud Detection
Abstract
Financial fraud detection across institutions faces a fundamental tension between the need for diverse training data and regulatory prohibitions on sharing sensitive records. Existing federated learning approaches suffer from... | Find, read and cite all the research you need on Tech Science Press
Fields of Study & Subjects
Imbalanced Data Classification Techniques
Privacy-Preserving Technologies in Data
Adversarial Robustness in Machine Learning
Publication details
- Journal / source
- Computers, materials & continua/Computers, materials & continua (Print)
- Publisher
- Tech Science Press
- Volume
- 88
- Issue
- 2
- Pages
- 1–10
- Publication date
- 1 January 2026
- Language
- EN