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GASP Codes for Secure Distributed Matrix Multiplication
December 24, 2018 Β· Declared Dead Β· π International Symposium on Information Theory
"No code URL or promise found in abstract"
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Authors
Rafael G. L. D'Oliveira, Salim El Rouayheb, David Karpuk
arXiv ID
1812.09962
Category
cs.IT: Information Theory
Citations
120
Venue
International Symposium on Information Theory
Last Checked
4 months ago
Abstract
We consider the problem of secure distributed matrix multiplication (SDMM) in which a user wishes to compute the product of two matrices with the assistance of honest but curious servers. We construct polynomial codes for SDMM by studying a combinatorial problem on a special type of addition table, which we call the degree table. The codes are based on arithmetic progressions, and are thus named GASP (Gap Additive Secure Polynomial) Codes. GASP Codes are shown to outperform all previously known polynomial codes for secure distributed matrix multiplication in terms of download rate.
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