AI RESEARCH
Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection
arXiv CS.LG
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ArXi:2604.23437v1 Announce Type: cross The global financial ecosystem confronts a critical asymmetry: while fraud syndicates operate as borderless, distributed networks, banking institutions remain constrained by regulatory data silos, limiting visibility into cross-institutional threat patterns under strict privacy laws such as GDPR. Although Federated Learning (FL) enables collaborative