Zavier-opt opened a new pull request, #9:
URL: https://github.com/apache/fineract-credit-scorecard/pull/9

   This is the client side of the federated learning function. Find the full FL 
function information at the 
https://github.com/Zavier-opt/fineract-federatedLearning-research/blob/main/READEME.md
 
   
   The client is responsible for training the model locally under the control 
of the server. And client side is deployed on the Django rest framework. It is 
created as a new app(fl_learning) to the previous credit scorecard Django 
project. Here is the link to the client code: 
https://github.com/Zavier-opt/fineract-credit-scorecard/tree/develop/fl_learning
   
   This fl_learning app is mainly composed of these files:
   
   views.py: Provides the predict and train function. This is the core of this 
federated learning function.
   fl_model.py: Defines the prediction model, training process, and flower 
model.
   fl_utility.py: Provides utility functions.
   urls.py: Define the API.


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