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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...
Autores principales: | Byrne, Eimear, Gnilke, Oliver W., Kliewer, Jörg |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
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 |
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