SMS Spam Detection Using Federated Learning

Abstract

Despite all technological advancements, the biggest issue tech giants face is mining data while keeping user privacy intact.According to an article in quartz, which says Google spent “hundreds of years of human time complying with Europe’s privacy rules”. A lot of important data cannot be accessed because of these privacy rules. A lot of methods have been under research to use the power of ML and keep privacy intact at the same time. In this work, we implemented one such method called federated learning. In the federated learning paradigm, the data is not moved out of the device, instead, the model is moved to the device where the data is trained and only the parameters are shared with the main server thus keeping the data privacy intact as well as using it to train the models. This could prove to be an innovative technology keeping in mind the current scenarios where most of the tech giants are driven by data and because of the privacy policy, they are unable to make the best out of the data being collected.