Litcius/Paper detail

A lightweight federated learning based privacy preserving B5G pandemic response network using unmanned aerial vehicles: A proof-of-concept

Nidal Nasser, Zubair Md. Fadlullah, Mostafa M. Fouda, Asmaa Ali, Muhammad Imran

2021Computer Networks45 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceAsynchronous communicationProof of conceptDisseminationWearable computerCoronavirus disease 2019 (COVID-19)PandemicArtificial intelligenceDeep learningMachine learningDistributed computingComputer networkEmbedded systemTelecommunicationsInfectious disease (medical specialty)Operating systemDiseasePathologyMedicinePrivacy-Preserving Technologies in DataCOVID-19 Digital Contact TracingCOVID-19 diagnosis using AI
A lightweight federated learning based privacy preserving B5G pandemic response network using unmanned aerial vehicles: A proof-of-concept | Litcius