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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| Format: | Article |
| Language: | English |
| Published: |
IJMADA
2025-03-01
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| Series: | International Journal of Management and Data Analytics |
| Subjects: | |
| Online Access: | https://ijmada.com/index.php/ijmada/article/view/77 |
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