Federated Learning: The Pioneering Distributed Machine Learning and Privacy-Preserving Data Technology
Philip Treleaven, Malgorzata Smietanka, Hirsh Pithadia
Abstract
Federated learning (pioneered by Google) is a new class of machine learning models trained on distributed data sets, and equally important, a key privacy-preserving data technology. The contribution of this article is to place it in perspective to other data science technologies.
Topics & Concepts
Computer scienceKey (lock)Perspective (graphical)Federated learningInformation privacyClass (philosophy)Distributed learningData scienceBig dataArtificial intelligenceComputer securityData miningPedagogyPsychologyPrivacy-Preserving Technologies in DataCryptography and Data SecurityMobile Crowdsensing and Crowdsourcing