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pro vyhledávání: '"Mohammad H. Rafiei"'
Publikováno v:
IEEE Access, Vol 10, Pp 117477-117500 (2022)
Outsourced computation for neural networks allows users access to state-of-the-art models without investing in specialized hardware and know-how. The problem is that the users lose control over potentially privacy-sensitive data. With homomorphic enc
Externí odkaz:
https://doaj.org/article/7373cfe09ba647c8afab1976a8010405
Publikováno v:
IEEE transactions on neural networks and learning systems.
Decades of research have shown machine learning superiority in discovering highly nonlinear patterns embedded in electroencephalography (EEG) records compared with conventional statistical techniques. However, even the most advanced machine learning
Publikováno v:
Computational Materials Science. 216:111834