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PADP-FedMeta: A personalized and adaptive differentially private federated meta learning mechanism for AIoT

Fang Dong, Xinghua Ge, Qinya Li, Jinghui Zhang, Dian Shen, Siqi Liu, Xiao Liu, Gang Li, Fan Wu, Junzhou Luo

2022Journal of Systems Architecture26 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceDifferential privacyConvergence (economics)Mechanism (biology)Federated learningEnhanced Data Rates for GSM EvolutionIndependent and identically distributed random variablesArtificial intelligenceDistributed learningInformation privacyNeglectComputer securityMachine learningData miningPedagogyPhilosophyStatisticsPsychologyEconomic growthMathematicsEconomicsNursingRandom variableEpistemologyMedicinePrivacy-Preserving Technologies in DataCryptography and Data SecurityMobile Crowdsensing and Crowdsourcing
PADP-FedMeta: A personalized and adaptive differentially private federated meta learning mechanism for AIoT | Litcius