Look-Up Table-Based Fully Private Coded Matrix Multiplication 


Vol. 48,  No. 10, pp. 1211-1214, Oct.  2023
10.7840/kics.2023.48.10.1211


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  Abstract

Private Coded Matrix Multiplication (PCMM) is a technique that combines existing coded computation and Private Information Retrieval (PIR) methods, and it has been the subject of extensive research. Fully Private Coded Matrix Multiplication (FPCMM) is one of the derivative studies of PCMM, which considers the scenario where a master node in a distributed computing system composed of multiple worker nodes does not possess its own data. In this paper, we propose a method to enhance the efficiency of computation in such FPCMM scenarios by utilizing Look-up tables (LUTs).

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  Cite this article

[IEEE Style]

M. Kim and H. Yang, "Look-Up Table-Based Fully Private Coded Matrix Multiplication," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 10, pp. 1211-1214, 2023. DOI: 10.7840/kics.2023.48.10.1211.

[ACM Style]

Minchul Kim and Heecheol Yang. 2023. Look-Up Table-Based Fully Private Coded Matrix Multiplication. The Journal of Korean Institute of Communications and Information Sciences, 48, 10, (2023), 1211-1214. DOI: 10.7840/kics.2023.48.10.1211.

[KICS Style]

Minchul Kim and Heecheol Yang, "Look-Up Table-Based Fully Private Coded Matrix Multiplication," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 10, pp. 1211-1214, 10. 2023. (https://doi.org/10.7840/kics.2023.48.10.1211)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880