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pro vyhledávání: '"Hiba Daafane"'
Autor:
Parisa Movahedi, Valtteri Nieminen, Ileana Montoya Perez, Hiba Daafane, Dishant Sukhwal, Tapio Pahikkala, Antti Airola
Publikováno v:
IEEE Access, Vol 12, Pp 118637-118648 (2024)
Differentially private (DP) synthetic data has emerged as a potential solution for sharing sensitive individual-level biomedical data. DP generative models offer a promising approach for generating realistic synthetic data that aims to maintain the o
Externí odkaz:
https://doaj.org/article/d9c3a0691312462997bff20bffd13791