Securing federated learning with blockchain: a systematic literature review

Federated learning (FL) is a promising framework for distributed machine learning that trains models without sharing local data while protecting privacy. FL exploits the concept of collaborative learning and builds privacy-preserving models. Nevertheless, the integral features of FL are fraught with...

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Detalles Bibliográficos
Autores principales: Qammar, Attia, Karim, Ahmad, Ning, Huansheng, Ding, Jianguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483378/
https://www.ncbi.nlm.nih.gov/pubmed/36160367
http://dx.doi.org/10.1007/s10462-022-10271-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483378/
https://www.ncbi.nlm.nih.gov/pubmed/36160367
http://dx.doi.org/10.1007/s10462-022-10271-9

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