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...

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Detalles Bibliográficos
Autores principales: Yao, Wenbin, Pan, Bangli, Hou, Yingying, Li, Xiaoyong, Xia, Yamei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216899/
https://www.ncbi.nlm.nih.gov/pubmed/37238470
http://dx.doi.org/10.3390/e25050715

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