Federated Artificial Intelligence for Unified Credit Assessment

Author:

Hoang Minh-Duc,Le Linh,Nguyen Anh-Tuan,Le Trang,Nguyen Hoang D.

Publisher

Springer International Publishing

Reference27 articles.

1. Ahangama, S., Poo, D.C.C.: Application of deep user activity transfer models for cross domain user matching. In: ICIS 2019 on Analytics and Data Science (2019)

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3. Chen, C., Lin, K., Rudin, C., Shaposhnik, Y., Wang, S., Wang, T.: An interpretable model with globally consistent explanations for credit risk. arXiv preprint arXiv:1811.12615 (2018)

4. Demirguc-Kunt, A., Klapper, L., Singer, D., Ansar, S., Hess, J.: The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. The World Bank, Washington (2018)

5. Desai, V.S., Crook, J.N., Overstreet Jr., G.A.: A comparison of neural networks and linear scoring models in the credit union environment. Eur. J. Oper. Res. 95(1), 24–37 (1996)

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