Implementing Federated Learning using PySyft

Basics:

Dataset - MNIST
Number of Workers - 32
Classification Model - CNN (see the details in models directory)
Tools Used - PySyft, PyTorch

Instructions:

Prerequisite: python3, pip3, pysyft, pytorch
RUN: "main_fed.py"
To edit the basic characteristics of the model, check "/utils/Arguments.py". No CLI has been provided for now.
To edit the classification model, check "/models/CNN.py"

Future Work:

Add a CLI to make the process of editing the arguments easier.
Facilitate training by selecting a subset of workers instead of using all the workers.