Abstract

Federated Learning also known as collaborative learning which employs a decentralized approach. Its features like security, privacy, and low cost of communication makes it popular in the industry. FL facilitates algorithms to get trained across multiple servers with no exchange of the actual data. It results in generating more robust models. This paper furnishes a comprehensive study of various FL algorithms applied in diverse domains as IOT, Secured Banking, Healthcare IOT, IIOT, Cloud based system etc. Objective of the paper is to provide a more detailed review of the FL algorithms in the recent literature.