Straggler- and Adversary-Tolerant Secure Distributed Matrix Multiplication Using Polynomial Codes

Large matrix multiplications commonly take place in large-scale machine-learning applications. Often, the sheer size of these matrices prevent carrying out the multiplication at a single server. Therefore, these operations are typically offloaded to a distributed computing platform with a master ser...

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Detalles Bibliográficos
Autores principales: Byrne, Eimear, Gnilke, Oliver W., Kliewer, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955190/
https://www.ncbi.nlm.nih.gov/pubmed/36832632
http://dx.doi.org/10.3390/e25020266

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955190/
https://www.ncbi.nlm.nih.gov/pubmed/36832632
http://dx.doi.org/10.3390/e25020266

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