Privacy-Preserving Financial Fraud Detection Using Federated Heterogeneous Temporal GraphSAGE
This study introduces FHT-GraphSAGE, a federated heterogeneous temporal graph learning framework for privacy-preserving financial fraud detection that combines heterogeneous temporal graph construction, a relation-aware GraphSAGE encoder with sinusoidal temporal edge embeddings, and a Federated Averaging optimization s...