QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection

arXiv:2404.02595v1 Announce Type: cross
Abstract: This study introduces the Quantum Federated Neural Network for Financial Fraud Detection (QFNN-FFD), a cutting-edge framework merging Quantum Machine Learning (QML) and quantum computing with Federated Learning (FL) to innovate financial fraud detection. Using quantum technologies' computational power and FL's data privacy, QFNN-FFD presents a secure, efficient method for identifying fraudulent transactions. Implementing a dual-phase training model across distributed clients surpasses existing methods in performance. QFNN-FFD significantly improves fraud detection and ensures data confidentiality, marking …

abstract arxiv computational computing cs.lg data data privacy detection edge federated learning financial financial fraud framework fraud fraud detection machine machine learning merging network neural network power privacy q-fin.rm qml quant-ph quantum quantum computing study technologies type