Applications of Federated Learning in IoT for Hyper Personalisation
Veer Dosi
Billions of IoT devices are being deployed, taking advantage of faster
internet, and the opportunity to access more endpoints. Vast quantities of data
are being generated constantly by these devices but are not effectively being
utilised. Using FL training machine learning models over these multiple clients
without having to bring it to a central server. We explore how to use such a
model to implement ultra levels of personalization unlike before