PIs: Andy Li, Amy Pan
The goal of this project is to develop a Deep Neural Network based risk management model that can help financial companies predict loan default likelihood with a higher accuracy when a customer applies for a loan. The DNN model will be developed based on a new learning pattern called Federated Learning [1]. Since financial companies may be required to explain to their customers or government a decision made by one of its algorithms in a simple and logical way, we will further develop some ways of how to explain and analysis the performance of our model by important feature visualization and statistic model.
References:
- Konečný J, McMahan HB, Yu FX, Richtárik P, Suresh AT, Bacon D. Federated learning: Strategies for improving communication efficiency. arXiv preprint arXiv:1610.05492. 2016 Oct 18.