Litcius/Paper detail

Federating recommendations using differentially private prototypes

Mónica Ribero, Jette Henderson, Sinead A. Williamson, Haris Vikalo

2022Pattern Recognition39 citationsDOI

Topics & Concepts

Computer scienceDifferential privacyRecommender systemMovieLensExploitSet (abstract data type)Private information retrievalMatrix decompositionField (mathematics)Variance (accounting)Relevance (law)Synthetic dataInformation privacyAdaptation (eye)Information sensitivityRaw dataMachine learningData miningArtificial intelligenceCollaborative filteringComputer securityPolitical scienceAccountingPhysicsEigenvalues and eigenvectorsOpticsProgramming languageQuantum mechanicsMathematicsPure mathematicsLawBusinessPrivacy-Preserving Technologies in DataRecommender Systems and TechniquesMachine Learning in Healthcare
Federating recommendations using differentially private prototypes | Litcius