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Private Secure Coded Computation

delete2019-11-01
delete22
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OA
AI
M
Minchul Kim
J
Jungwoo Lee *
DOI:10.1109/LCOMM.2019.2934436delete
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Abstract

Abstract

En 中文
We present private secure coded computation that ensures both the master's privacy and data security against the workers, where the master aims to compute a function of its private data and a specific data in a library exclusively owned by the external workers. For privacy, the master should conceal the index of the specific data in the library against the workers. For security, the master should encrypt its private data. As an achievable scheme, we propose private secure polynomial codes and compare the proposed scheme with private polynomial codes in private coded computation and the optimal scheme of robust private information retrieval (RPIR).
Keywords:
Coded computation
distributed computing
polynomial codes
private information retrieval
AI Summary

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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Communications Letters cover
IEEE Communications Letters
IF:
4.4
Papers:
1.3W
Citations:
2.2W

Organization

S
seoul national university (snu)
Scholars:
7.2W
Papers: 6.6W
Citations: 86
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