On the Storage Cost of Private Information Retrieval

C. Tian
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Abstract

We consider the fundamental tradeoff between the storage cost and the download cost in private information retrieval systems, without any explicit structural restrictions on the storage codes, such as maximum distance separable codes or uncoded storage. Two novel outer bounds are provided, which have the following implications. When the messages are stored without any redundancy across the databases, the optimal PIR strategy is to download all the messages; on the other hand, for PIR capacity-achieving codes, each database can reduce the storage cost, from storing all the messages, by no more than one message on average. We then focus on the two-message two-database case, and show that a stronger outer bound can be derived through a novel pseudo-message technique.
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论私有信息检索的存储成本
我们考虑了私有信息检索系统中存储成本和下载成本之间的基本权衡,没有对存储代码(如最大距离可分离代码或无编码存储)进行任何明确的结构限制。提供了两个新的外部边界,它们具有以下含义。当消息在数据库中没有任何冗余存储时,最佳的PIR策略是下载所有消息;另一方面,对于实现PIR容量的代码,由于存储所有消息,每个数据库减少的存储成本平均不超过一条消息。然后,我们将重点放在双消息双数据库的情况下,并表明可以通过一种新的伪消息技术派生出更强的外部边界。
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