update readme

README.md

@@ -9,9 +9,11 @@ __federated__ is the source code for the Bachelor's Thesis
 Federated learning (also known as collaborative learning) is a machine learning technique that trains an algorithm across multiple decentralized edge devices or servers holding local data samples, without exchanging them. In this project, the decentralized data is the [MIT-BIH Arrhythmia Database](https://www.physionet.org/content/mitdb/1.0.0/).
 
 ## Table of Contents
+- [Table of Contents](#table-of-contents)
 - [Features](#features)
 - [Installation](#installation)
   - [Prerequisites](#prerequisites)
+  - [Initial Setup](#initial-setup)
   - [Installing federated locally](#installing-federated-locally)
   - [Installing with Docker (optional)](#installing-with-docker-optional)
 - [Running experiments with federated](#running-experiments-with-federated)
@@ -43,16 +45,18 @@ Federated learning (also known as collaborative learning) is a machine learning
 * make
 * [Docker 20.10 (optional)](https://docs.docker.com/get-docker/)
 
-### Installing federated locally
+### Initial Setup
 
-__1. Cloning federated__
+__Cloning federated__
 
 ```bash
-$ git clone https://gitlab.stud.idi.ntnu.no/dilawarm/federated.git
+$ git clone https://gitlab.stud.idi.ntnu.no/dilawarm/federated
 $ cd federated
 ```
 
-__2. Install the Python development environment__
+### Installing federated locally
+
+__1. Install the Python development environment__
 
 <u>On Ubuntu:</u>
 ```bash
@@ -72,7 +76,7 @@ $ brew install make    # make
 $ sudo pip3 install --user --upgrade virtualenv
 ```
 
-__3. Create a virtual environment__
+__2. Create a virtual environment__
 
 ```bash
 $ virtualenv --python python3 "venv"
@@ -80,13 +84,13 @@ $ source "venv/bin/activate"
 (venv) $ pip install --upgrade pip
 ```
 
-__4. Install the dependencies__
+__3. Install the dependencies__
 
 ```bash
 (venv) $ make install
 ```
 
-__5. Test TensorFlow Federated__
+__4. Test TensorFlow Federated__
 
 ```bash
 (venv) $ python -c "import tensorflow_federated as tff; print(tff.federated_computation(lambda: 'Hello World')())"
@@ -196,7 +200,7 @@ See the [Makefile](Makefile) for more commands to test the modules in **federate
 
 1. Clone repo and create a new branch: 
 ```bash
-$ git checkout https://gitlab.stud.idi.ntnu.no/dilawarm/federated.git -b name_for_new_branch`
+$ git checkout https://gitlab.stud.idi.ntnu.no/dilawarm/federated -b name_for_new_branch
 ```
 2. Make changes and test.
 3. Submit Pull Request with comprehensive description of changes.