Bayesian models in Federated Learning architectures
This work investigates the use of Naive Bayes models in Federated Learning settings and proposes an FLNB procedure for decentralized structured classification tasks. The motivation comes from application domains such as healthcare, finance and industrial analytics, where models trained from data ori...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2026-09-01
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| coleção: | Machine Learning with Applications |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2666827026001143 |
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