Federated Learning is a machine learning approach that enables model training on decentralized data residing on devices like smartphones, enhancing privacy by keeping data local. It allows for collaborative learning across multiple devices without the need to share raw data, thus mitigating privacy risks and reducing the need for centralized data storage.