In this session, we'll explore how Machine Learning moves to the edge with TinyML, enabling IoT devices to process data locally using frameworks like TensorFlow Lite. We'll present how Federated Learning allows these devices to collaboratively improve ML models without sharing raw data, enhancing privacy and security. Join us to discover how combining Edge AI, TinyML, TensorFlow, and Federated Learning can give the full potential of IoT, reducing latency, preserving privacy, and opening doors to innovative applications.