Dynamic Asynchronous Anti Poisoning Federated Deep Learning with Blockchain-Based Reputation-Aware Solutions

As promising privacy-preserving machine learning technology, federated learning enables multiple clients to train the joint global model via sharing model parameters. However, inefficiency and vulnerability to poisoning attacks significantly reduce federated learning performance. To solve the aforem...

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Detalles Bibliográficos
Autores principales: Chen, Zunming, Cui, Hongyan, Wu, Ensen, Yu, Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8777936/
https://www.ncbi.nlm.nih.gov/pubmed/35062645
http://dx.doi.org/10.3390/s22020684

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8777936/
https://www.ncbi.nlm.nih.gov/pubmed/35062645
http://dx.doi.org/10.3390/s22020684

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