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Federated Deep Learning for the Diagnosis of Cerebellar Ataxia: Privacy Preservation and Auto-Crafted Feature Extractor
journal contribution
posted on 2022-01-01, 00:00 authored by T Ngo, D C Nguyen, Pubudu PathiranaPubudu Pathirana, L A Corben, M B Delatycki, M Horne, D J Szmulewicz, M RobertsFederated Deep Learning for the Diagnosis of Cerebellar Ataxia: Privacy Preservation and Auto-Crafted Feature Extractor
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Journal
IEEE Transactions on Neural Systems and Rehabilitation EngineeringVolume
30Pagination
803 - 811Publisher
Institute of Electrical and Electronics EngineersLocation
Piscataway, N.J.Publisher DOI
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1534-4320eISSN
1558-0210Language
EnglishPublication classification
C1 Refereed article in a scholarly journalUsage metrics
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Australiacerebellar ataxia (CA)Cloud computingData modelsDeep learningDeep learning (DL)EngineeringEngineering, BiomedicalFeature extractionfederated learning (FL)FRIEDREICH ATAXIAImage sensorsLife Sciences & BiomedicineQUANTITATIVE ASSESSMENTRehabilitationScience & TechnologySensorsTechnologytransfer learning
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