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Secure deep learning for distributed data against maliciouscentral server
In this paper, we propose a secure system for performing deep learning with distributed trainers connected to a central parameter server. Our system has the following two distinct features: (1) the distributed trainers can detect malicious activities in the server; (2) the distributed trainers can p...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9342767/ https://www.ncbi.nlm.nih.gov/pubmed/35913921 http://dx.doi.org/10.1371/journal.pone.0272423 |