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FedIncome: Federated Learning for Income Estimation in Digital Lending Under Data Sovereignty Constraints
Verified income is often unavailable in digital loan applications, forcing lenders to rely on reported income and potentially leading to over-lending, overly conservative offers, or rejection of creditworthy applicants. Cross-institutional data-sharing constraints make this problem especially diffic
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