Navigating the Challenges of Federated Learning: Privacy, Security, and Scalability in Distributed Data Environments
Machine learning keeps expanding with the introduction of various technologies and approaches that are changing our lives, one of such approaches is Federated learning which has proven to be a very revolutionary approach in machine learning, allowing models to be trained across different decentralised environments or servers while making sure that those data are localised….