The main idea behind federated learning is to train a machine learning model on user data without the need to transfer that data to cloud servers.

Federated learning starts with a base machine learning model in the cloud server. This model is either trained on public data (e.g., Wikipedia articles or the ImageNet dataset) or has not been ...