AI RESEARCH
Privacy-Preserving Federated Fraud Detection in Payment Transactions with NVIDIA FLARE
arXiv CS.LG
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ArXi:2603.13617v1 Announce Type: new Fraud-related financial losses continue to rise, while regulatory, privacy, and data-sovereignty constraints increasingly limit the feasibility of centralized fraud detection systems. Federated Learning (FL) has emerged as a promising paradigm for enabling collaborative model