🚀 Feature: Implement Regression for federated Learning

[ramesht007]

🔖 Feature description

We need to implement Regression for Federated learning. You can go through this link to get better understanding.

Location: You can create module in here under the name regression.

You can implement utilities methods in a utils class. example:

class utils:
  def get_model_parameters():
    pass
  def set_model_params():
    pass
  def set_initial_params():
    pass
  def load_mnist():
    pass
  def partition():
    pass

🎤 Pitch

Currently, we only have one model(DLRM) for running our experiments. We need more machine learning and deep learning model implementations for our FL use case.

📖 Additional Content

No response

👀 Have you spent some time to check if this issue has been raised before?

• [X] I checked and didn't find similar issue

🏢 Have you read the Code of Conduct?

• [X] I have read the Code of Conduct

[ramesht007]

This is a medium difficulty task. Please discuss the your approach before taking up this issue. You can propose your approach to us on our discord server. thanks

[kaiserliche]

Hey, I want to take this issue. Please assign it if possible. Thank You!!

[ramesht007]

Done, Thanks for showing interest.