Federated AI inverts the traditional machine learning paradigm. Instead of bringing data to the model, it brings the model to the data. Training happens locally on distributed nodes (i.e., hospitals, banks, and edge devices), and only model updates are shared with a central coordinator. The raw data never leaves its source. We will discuss this approach and how it enables collaborative AI while addressing privacy regulations (i.e., GDPR-EU data prote