3 papers
stat.ML2026
FedIncome: Federated Learning for Income Estimation in Digital Lending Under Data Sovereignty Constraints
Sultan Amed, Tanmay Sen, Sayantan Banerjee
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, o…
cs.LG2026
BayPrAnoMeta: Bayesian Proto-MAML for Few-Shot Industrial Image Anomaly Detection
Soham Sarkar, Tanmay Sen, Sayantan Banerjee
Industrial image anomaly detection is a challenging problem owing to extreme class imbalance and the scarcity of labeled defective samples, particularly in few-shot settings. We pr…
cs.LG2026
FSL-BDP: Federated Survival Learning with Bayesian Differential Privacy for Credit Risk Modeling
Sultan Amed, Tanmay Sen, Sayantan Banerjee
Credit risk models are a critical decision-support tool for financial institutions, yet tightening data-protection rules (e.g., GDPR, CCPA) increasingly prohibit cross-border shari…