Comment on &x201C;Efficient Secure Outsourcing of Large-Scale Sparse Linear Systems of Equations&x201D;

Autor:	Cao, Zhengjun, Markowitch, Olivier
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Big Data Gradient methods Electronic mail conjugate gradient method linear least squares problem Sparse matrices Cloud computing Généralités Linear systems Servers Outsourcing sparse linear equations
Zdroj:	IEEE Transactions on Big Data
Popis:	The scheme [IEEE Trans. Big Data, 4 (1), 2018, 26-39] is flawed because the sparsity of coefficient matrix is neglected. In the discussed scenario, we find it is unnecessary to outsource such a problem because the client can solve it locally. Even if the matrix is not sparse, the proposed paradigm which requires a great number of interactions, is rarely adopted because of the possibly incurred massive communication cost. SCOPUS: ar.j info:eu-repo/semantics/published
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=od______2101::e37fb07e06a679ea2779d14728948f08 http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/312339 Zobrazit plný text záznamu