Federated Learning is a much-needed technology in this golden era of big data and Artificial
Intelligence, due to its vital role in preserving data privacy, and eliminating the need to
transfer and process huge amounts of data, while maintaining the numerous benefits of
Machine Learning. As opposed to the typical central training process, Federated Learning
involves the collaborative training of statistical models by exchanging learned parameter
updates. However, wide adoption of the technology is hindered by the communication and …