Federated Deep Learning for the Diagnosis of Cerebellar Ataxia: Privacy Preservation and Auto-Crafted Feature Extractor

Ngo, T; Nguyen, DC; Pathirana, Pubudu; Corben, LA; Delatycki, MB; Horne, M; Szmulewicz, DJ; Roberts, M

Federated Deep Learning for the Diagnosis of Cerebellar Ataxia: Privacy Preservation and Auto-Crafted Feature Extractor

journal contribution

posted on 2024-06-06, 02:47 authored by T Ngo, DC Nguyen, Pubudu PathiranaPubudu Pathirana, LA Corben, MB Delatycki, M Horne, DJ Szmulewicz, M Roberts

Federated Deep Learning for the Diagnosis of Cerebellar Ataxia: Privacy Preservation and Auto-Crafted Feature Extractor

History

Journal

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volume

30

Pagination

803-811

Location

Piscataway, N.J.

Publisher DOI

https://doi.org/10.1109/TNSRE.2022.3161272

Link to full text

http://doi.org/10.1109/tnsre.2022.3161272

ISSN

1534-4320

eISSN

1558-0210

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000777324900002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

Publisher

Institute of Electrical and Electronics Engineers

Federated Deep Learning for the Diagnosis of Cerebellar Ataxia: Privacy Preservation and Auto-Crafted Feature Extractor

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