International Association for Cryptologic Research

International Association
for Cryptologic Research

IACR News item: 20 May 2024

Ashrujit Ghoshal, Baitian Li, Yaohua Ma, Chenxin Dai, Elaine Shi
ePrint Report ePrint Report
We propose a new unified framework to construct multi-server, information-theoretic Private Information Retrieval (PIR) schemes that leverage global preprocesing to achieve sublinear computation per query. Despite a couple earlier attempts, our understanding of PIR schemes in the global preprocessing model remains limited, and so far, we only know a few sparse points in the broad design space. With our new unified framework, we can generalize the results of Beimel, Ishai, and Malkin to broader parameter regimes, thus enabling a tradeoff between bandwidth and computation. Specifically, for any constant $S > 1$, we can get an $S$-server scheme whose bandwidth consumption is as small as $n^{1/(S+1) + \epsilon}$ while achieving computation in the $n^\delta$ regime for some constant $\delta \in (0, 1)$. Moreover, we can get a scheme with polylogarithmic bandwidth and computation, requiring only polylogarithmic number of servers.
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