Federated Learning Architecture for Cross-Border Payment Intelligence under Data Sovereignty
Keywords:
federated learning, cross-border payments, data sovereignty, secure aggregation, real-time authorization, distributed intelligenceAbstract
Data localization in cross-border payment ecosystems face various challenges which instructs centralized machine learning to prevent over jurisdiction-restricted datasets. The objective of this paper is to propose a robust federated learning architecture which is specially designed for real time payment authorization signals at the same time sticking to data sovereignty requirements.
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