Federated Learning is really an adapted form of distributed artificial intelligence to teach device learning models that decentralises the training approach, permitting for end users' privateness to generally be maintained by not needing to mail their data to the centralised server. Rule-primarily based machine learning is often a normal term https://alaskaresidential.com/helping-the-others-realize-the-advantages-of-learn-about-this-picture-remove/