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Filtros : "INTERNET DAS COISAS" "Liu, Liyuan" Removido: "ACM Computing Surveys" Limpar

Filtros

Artigo de periodico
Federated learning in smart healthcare: a survey of applications, challenges, and future directions (2025)
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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 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/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 2025 nov. 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 2025 nov. 27 ] Available from: https://doi.org/10.3390/electronics14091750
Artigo de periodico
Privacy-preserving federated learning-based intrusion detection system for IoHT devices (2025)
Mosaiyebzadeh, Fatemeh ; Pouriyeh, Seyedamin ; Han, Meng ; Liu, Liyuan ; Xie, Yixin ; Zhao, Liang ; Batista, Daniel Macêdo
Source: Electronics. Unidade: IME
Subjects: INTERNET DAS COISAS, APRENDIZAGEM PROFUNDA, AVALIAÇÃO DE DESEMPENHO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOSAIYEBZADEH, Fatemeh et al. Privacy-preserving federated learning-based intrusion detection system for IoHT devices. Electronics, v. 14, n. artigo 67, p. 1-18, 2025Tradução . . Disponível em: https://doi.org/10.3390/electronics14010067. Acesso em: 27 nov. 2025.
APA
Mosaiyebzadeh, F., Pouriyeh, S., Han, M., Liu, L., Xie, Y., Zhao, L., & Batista, D. M. (2025). Privacy-preserving federated learning-based intrusion detection system for IoHT devices. Electronics, 14( artigo 67), 1-18. doi:10.3390/electronics14010067
NLM
Mosaiyebzadeh F, Pouriyeh S, Han M, Liu L, Xie Y, Zhao L, Batista DM. Privacy-preserving federated learning-based intrusion detection system for IoHT devices [Internet]. Electronics. 2025 ; 14( artigo 67): 1-18.[citado 2025 nov. 27 ] Available from: https://doi.org/10.3390/electronics14010067
Vancouver
Mosaiyebzadeh F, Pouriyeh S, Han M, Liu L, Xie Y, Zhao L, Batista DM. Privacy-preserving federated learning-based intrusion detection system for IoHT devices [Internet]. Electronics. 2025 ; 14( artigo 67): 1-18.[citado 2025 nov. 27 ] Available from: https://doi.org/10.3390/electronics14010067

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