FedFusion: Adaptive Model Fusion for Addressing Feature Discrepancies in Federated Credit Card Fraud Detection

The digitization of financial transactions has led to a rise in credit card fraud, necessitating robust measures to secure digital financial systems from fraudsters. Nevertheless, traditional centralized approaches for detecting such frauds, despite their effectiveness, often do not maintain the con...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Nahid Ferdous Aurna, Md Delwar Hossain, Latifur Khan, Yuzo Taenaka, Youki Kadobayashi
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2024-01-01
Sarja:	IEEE Access
Aiheet:	Credit card fraud fraud detection system federated learning FedFusion CNN MLP
Linkit:	https://ieeexplore.ieee.org/document/10684281/
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