Context-aware monitoring for IoT: an approach based on agents, and federated learning (2023)
- Authors:
- USP affiliated authors: ESTRELLA, JÚLIO CEZAR - ICMC ; CURASMA, HERMINIO PAUCAR - ICMC
- Unidade: ICMC
- DOI: 10.1145/3615366.3622791
- Subjects: ARQUITETURA DE SOFTWARE; SISTEMAS MULTIAGENTES; APRENDIZADO COMPUTACIONAL
- Keywords: context-aware; smart building; federated learning
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Proceedings
- Conference titles: Latin-American Symposium on Dependable and Secure Computing - LADC
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
CURASMA, Herminio Paucar e ESTRELLA, Júlio Cezar. Context-aware monitoring for IoT: an approach based on agents, and federated learning. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3615366.3622791. Acesso em: 29 maio 2024. -
APA
Curasma, H. P., & Estrella, J. C. (2023). Context-aware monitoring for IoT: an approach based on agents, and federated learning. In Proceedings. New York: ACM. doi:10.1145/3615366.3622791 -
NLM
Curasma HP, Estrella JC. Context-aware monitoring for IoT: an approach based on agents, and federated learning [Internet]. Proceedings. 2023 ;[citado 2024 maio 29 ] Available from: https://doi.org/10.1145/3615366.3622791 -
Vancouver
Curasma HP, Estrella JC. Context-aware monitoring for IoT: an approach based on agents, and federated learning [Internet]. Proceedings. 2023 ;[citado 2024 maio 29 ] Available from: https://doi.org/10.1145/3615366.3622791 - Reactive software architectures in IoT: a literature review
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- Bibliometric analysis of workflow scheduling in grids and clouds
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- A distributed environment decision maker based on machine learning techniques
- A low cost workload generation approach through the cloud for capacity planning in service-oriented systems
- WSARCH: uma arquitetura para a provisão de web services com qualidade de serviço
- Avaliação qualitativa dos algoritmos TOPSIS, WSM e GRA aplicado no contexto de internet das coisas
Informações sobre o DOI: 10.1145/3615366.3622791 (Fonte: oaDOI API)
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