Real-Time Financial Fraud Detection Using Adaptive Graph Neural Networks and Federated Learning

Real-Time Financial Fraud Detection Using Adaptive Graph Neural Networks and Federated Learning

Detecting financial fraud in real time is an ongoing challenge due to the ever-evolving nature of fraudulent activities. Conventional fraud detection systems rely heavily on static machine learning models, which often struggle to adapt to emerging fraud patterns. Additionally, data privacy regulati...

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Bibliographic Details
Main Author: Milad Rahmati
Format: Article
Language:English
Published: IJMADA 2025-03-01
Series:International Journal of Management and Data Analytics
Subjects:
Graph Neural Networks
Federated Learning
Real-Time AI
Explainable AI
Privacy-Preserving Machine Learning
Online Access:https://ijmada.com/index.php/ijmada/article/view/77
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