Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated Learning
István Hegedűs, Gábor Danner, Márk Jelasity
Topics & Concepts
Computer scienceGossipMatrix decompositionRobustness (evolution)Federated learningRobust principal component analysisServerRank (graph theory)Artificial intelligenceMachine learningWorld Wide WebPrincipal component analysisSocial psychologyEigenvalues and eigenvectorsChemistryBiochemistryPsychologyCombinatoricsPhysicsQuantum mechanicsMathematicsGeneRecommender Systems and TechniquesPrivacy-Preserving Technologies in DataMobile Crowdsensing and Crowdsourcing