devices collaboratively learn a machine learning model without sharing their private data
under the supervision of a central server. This offers ample opportunities in critical domains
such as healthcare, finance etc, where it is risky to share private user information to other
organisations or devices. While FL appears to be a promising Machine Learning (ML)
technique to keep the local data private, it is also vulnerable to attacks like other ML models …