FedIncome: Federated Learning for Income Estimation in Digital Lending Under Data Sovereignty Constraints

arXiv:2609.27654 · stat.ML, cs.LG, q-fin.ST · Submitted 2026-09-23 · Read on arXiv

stat.ML, cs.LG, q-fin.ST

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Benchmark — 46× in this paper · explained in 2 episodes
• Aggregation — 35× in this paper · explained in 1 episode
• Federated Learning — 30× in this paper · explained in 15 episodes
• Verification — 16× in this paper · explained in 2 episodes
• Calibration — 15× in this paper · explained in 7 episodes
• Local Optimization — 7× in this paper · explained in 2 episodes
• Differential Privacy — 6× in this paper · explained in 4 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Regularization — 3× in this paper · explained in 3 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Convergence Guarantees — 2× in this paper · explained in 3 episodes
• Data Sovereignty — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Access Regimes — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Bayesian Framework — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Distribution Shift — 1× in this paper · explained in 6 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Information Asymmetry — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Model Drift — 1× in this paper · explained in 4 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Personalization — 1× in this paper · explained in 2 episodes

Sources

• FSL-BDP: Federated Survival Learning with Bayesian Differential Privacy for Credit Risk Modeling

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