A Differential Privacy Strategy Based on Local Features of Non-Gaussian Noise in Federated Learning

As an emerging artificial intelligence technology, federated learning plays a significant role in privacy preservation in machine learning, although its main objective is to prevent peers from peeping data. However, attackers from the outside can steal metadata in transit and through data reconstruc...

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Detalles Bibliográficos
Autores principales: Wang, Xinyi, Wang, Jincheng, Ma, Xue, Wen, Chenglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003035/
https://www.ncbi.nlm.nih.gov/pubmed/35408039
http://dx.doi.org/10.3390/s22072424

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003035/
https://www.ncbi.nlm.nih.gov/pubmed/35408039
http://dx.doi.org/10.3390/s22072424

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