Update README.md to include details about FML

README.md

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-# fml-back-end
-Back-end Application for Federated Meta Learning - Dissertation
+# FMLearn
+“**Federated Meta-Learning**” (FML), a concept that allows everyone to benefit from the data that is generated through software libraries including machine learning and data science libraries. 
+
+We have built **FMLearn**, an application developed using the client-server model, to allows the exchange of meta-data about machine learning models for the purpose of meta-learned algorithm selection and configuration.
+
+[scikit-learn](https://github.com/mukeshmk/scikit-learn) has been forked and a package has been developed in it to make API calls to **FMLearn**.
+
+The use of **FMLearn** to identify the algorithm with the best performance, that is, least MSE for a dataset allows the user in scaling down the repetitive effort and time consumed in rewriting and executing code, correcting possible human errors, etc.
+
+
+### Important Links:
+
+Proposal: [Federated Meta-Learning](https://www.scss.tcd.ie/joeran.beel/blog/2019/04/08/federated-meta-learning-democratizing-algorithm-selection-across-disciplines-and-software-libraries-proposal/)
+
+GitHub Repo for the modified scikit-learn: [mukeshmk/scikit-learn](https://github.com/mukeshmk/scikit-learn)