Federated learning allows user data to remain on individual devices, enhancing privacy while still enabling collaborative model training. The concept extends to decentralized machine learning, which eliminates the need for a central server. As data becomes increasingly vital yet sensitive, establishing a responsible data economy is crucial, focusing on privacy and fair user benefits.
