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Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing
Version 2 2024-06-06, 02:47Version 2 2024-06-06, 02:47
Version 1 2021-11-12, 08:18Version 1 2021-11-12, 08:18
journal contribution
posted on 2021-10-19, 00:00 authored by D C Nguyen, M Ding, Pubudu PathiranaPubudu Pathirana, A Seneviratne, A Y ZomayaFederated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing
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Journal
IEEE Internet of Things JournalPagination
1 - 15Publisher
Institute of Electrical and Electronics Engineers (IEEE)Location
Piscataway, NJPublisher DOI
eISSN
2327-4662Language
EnglishPublication classification
C1 Refereed article in a scholarly journalUsage metrics
Keywords
COVID-19Edge cloudFederated learningGenerative adversarial networkScience & TechnologyTechnologyComputer Science, Information SystemsEngineering, Electrical & ElectronicTelecommunicationsComputer ScienceEngineeringTrainingGenerative adversarial networksData modelsHospitalsServersPandemicsfederated learning (FL)generative adversarial network (GAN)BLOCKCHAINFRAMEWORKCONSENSUSINTERNETSECUREAIDistributed Computing
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