A Machine Learning Framework for Privacy-Preserving Financial Risk Assessment Using Explainable Artificial Intelligence and Blockchain-Based Trust Management
The Privacy-Preserving Explainable Trust Framework (PP-ETF) achieves AUC-ROC performance within 1.4%–1.6% of centralized deep-learning models while enforcing privacy and decentralized trust guarantees.
