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An Adaptive Model Filtering Algorithm Based on Grubbs Test in Federated Learning
Federated learning has been popular for its ability to train centralized models while protecting clients’ data privacy. However, federated learning is highly susceptible to poisoning attacks, which can result in a decrease in model performance or even make it unusable. Most existing defense methods...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216899/ https://www.ncbi.nlm.nih.gov/pubmed/37238470 http://dx.doi.org/10.3390/e25050715 |