Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey (2023)
- Authors:
- USP affiliated authors: UEYAMA, JO - ICMC ; BATISTA, DANIEL MACEDO - IME ; MOSAIYEBZADEH, FATEMEH - IME ; RANIERI, CAETANO MAZZONI - ICMC
- Unidades: ICMC; IME
- DOI: 10.3390/electronics12122703
- Subjects: INTERNET DAS COISAS; TECNOLOGIAS DA SAÚDE; PRIVACIDADE; APRENDIZAGEM
- Keywords: privacy-enhancing technologies; Internet of Healthcare Things; federated learning; security
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Electronics
- ISSN: 2079-9292
- Volume/Número/Paginação/Ano: v. 12, n. 12, p. 1-28, 2023
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
MOSAIYEBZADEH, Fatemeh et al. Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey. Electronics, v. 12, n. 12, p. 1-28, 2023Tradução . . Disponível em: https://doi.org/10.3390/electronics12122703. Acesso em: 12 fev. 2026. -
APA
Mosaiyebzadeh, F., Pouriyeh, S., Parizi, R. M., Sheng, Q. Z., Han, M., Zhao, L., et al. (2023). Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey. Electronics, 12( 12), 1-28. doi:10.3390/electronics12122703 -
NLM
Mosaiyebzadeh F, Pouriyeh S, Parizi RM, Sheng QZ, Han M, Zhao L, Sannino G, Ranieri CM, Ueyama J, Batista DM. Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey [Internet]. Electronics. 2023 ; 12( 12): 1-28.[citado 2026 fev. 12 ] Available from: https://doi.org/10.3390/electronics12122703 -
Vancouver
Mosaiyebzadeh F, Pouriyeh S, Parizi RM, Sheng QZ, Han M, Zhao L, Sannino G, Ranieri CM, Ueyama J, Batista DM. Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey [Internet]. Electronics. 2023 ; 12( 12): 1-28.[citado 2026 fev. 12 ] Available from: https://doi.org/10.3390/electronics12122703 - Advances in application of federated machine learning for oncology and cancer diagnosis
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Informações sobre o DOI: 10.3390/electronics12122703 (Fonte: oaDOI API)
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