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Challenges and future directions of secure federated learning: a survey
Federated learning came into being with the increasing concern of privacy security, as people’s sensitive information is being exposed under the era of big data. It is an algorithm that does not collect users’ raw data, but aggregates model parameters from each client and therefore protects user’s p...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Higher Education Press
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663756/ https://www.ncbi.nlm.nih.gov/pubmed/34909232 http://dx.doi.org/10.1007/s11704-021-0598-z |