Federated learning in smart healthcare: a survey of applications, challenges, and future directions (2025)
- Authors:
- USP affiliated authors: BATISTA, DANIEL MACEDO - IME ; MOSAIYEBZADEH, FATEMEH - IME
- Unidade: IME
- DOI: 10.3390/electronics14091750
- Subjects: INTERNET DAS COISAS; APRENDIZAGEM PROFUNDA; INTELIGÊNCIA ARTIFICIAL; ASSISTÊNCIA À SAÚDE
- Keywords: smart healthcare; federated learning; artificial intelligence
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Electronics
- ISSN: 2079-9292
- Volume/Número/Paginação/Ano: v. 14, n. 9, artigo n. 1750, p. 1-40, 2025
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
NASAJPOUR, Mohammad et al. Federated learning in smart healthcare: a survey of applications, challenges, and future directions. Electronics, v. 14, n. artigo 1750, p. 1-40, 2025Tradução . . Disponível em: https://doi.org/10.3390/electronics14091750. Acesso em: 27 mar. 2026. -
APA
Nasajpour, M., Pouriyeh, S., Parizi, R. M., Han, M., Mosaiyebzadeh, F., Liu, L., et al. (2025). Federated learning in smart healthcare: a survey of applications, challenges, and future directions. Electronics, 14( artigo 1750), 1-40. doi:10.3390/electronics14091750 -
NLM
Nasajpour M, Pouriyeh S, Parizi RM, Han M, Mosaiyebzadeh F, Liu L, Xie Y, Batista DM. Federated learning in smart healthcare: a survey of applications, challenges, and future directions [Internet]. Electronics. 2025 ; 14( artigo 1750): 1-40.[citado 2026 mar. 27 ] Available from: https://doi.org/10.3390/electronics14091750 -
Vancouver
Nasajpour M, Pouriyeh S, Parizi RM, Han M, Mosaiyebzadeh F, Liu L, Xie Y, Batista DM. Federated learning in smart healthcare: a survey of applications, challenges, and future directions [Internet]. Electronics. 2025 ; 14( artigo 1750): 1-40.[citado 2026 mar. 27 ] Available from: https://doi.org/10.3390/electronics14091750 - Advances in application of federated machine learning for oncology and cancer diagnosis
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