Nasajpour, Mohammad 
; Pouriyeh, Seyedamin ; Parizi, Reza M. ; Han, Meng ; Mosaiyebzadeh, Fatemeh ; Liu, Liyuan ; Xie, Yixin ; Batista, Daniel Macêdo
Source: Electronics. Unidade: IME
Subjects: INTERNET DAS COISAS, APRENDIZAGEM PROFUNDA, INTELIGÊNCIA ARTIFICIAL, ASSISTÊNCIA À SAÚDE
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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 nov. 2025.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/electronics14091750NLM
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 2025 nov. 27 ] Available from: https://doi.org/10.3390/electronics14091750Vancouver
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 2025 nov. 27 ] Available from: https://doi.org/10.3390/electronics14091750
