final changes to README. ready to be made public

README.md

@@ -1,7 +1,19 @@
 # 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. 
+