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eNauka >  Results >  Privacy-Preserving Deep Learning: A Survey on Theoretical Foundations, Software Frameworks, and Hardware Accelerators
Title: Privacy-Preserving Deep Learning: A Survey on Theoretical Foundations, Software Frameworks, and Hardware Accelerators
Authors: Jahns, Eric; Stojkov, Milan; Kinsy, Michel A
Issue Date: 2025
Publication: IEEE ACCESS
ISSN: 2169-3536 IEEE Access Search Idenfier
Type: Article
Collation: vol. 13 str. 67821-67855
DOI: 10.1109/ACCESS.2025.3561721
WoS-ID: 001473151800042
Scopus-ID: 2-s2.0-105003697658
URI: https://enauka.gov.rs/handle/123456789/980733
Project: Department of Defense Scalable Asymmetric Lifecycle Engagement (SCALE) program
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
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