Federated Deep Learning for the Diagnosis of Cerebellar Ataxia: Privacy Preservation and Auto-Crafted Feature Extractor-Reference-Cited by-同舟云学术

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

Published:2022 Issue: Volume:30 Page:803-811
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Ngo Thang¹^ORCID,Nguyen Dinh C.²^ORCID,Pathirana Pubudu N.¹^ORCID,Corben Louise A.³^ORCID,Delatycki Martin B.³,Horne Malcolm⁴^ORCID,Szmulewicz David J.⁴^ORCID,Roberts Melissa⁵

Affiliation:

1. School of Engineering, Deakin University, Waurn Ponds, VIC, Australia

2. School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA

3. Murdoch Children’s Research Institute, Parkville, VIC, Australia

4. Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia

5. Physiotherapy Department, Monash Health, Clayton, VIC, Australia

Funder

Florey Institute of Neuroscience

National Health and Medical Research Council (NHMRC) of Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject