Federated Learning is surely an tailored kind of dispersed synthetic intelligence to prepare machine learning models that decentralises the training system, letting for users' privacy to be preserved by not needing to deliver their data to the centralised server. ^ The definition "without getting explicitly programmed" is frequently attributed to http://www.logosnlife.org/board_NXjP71/662630