English

Converse for Multi-Server Single-Message PIR with Side Information

Information Theory 2024-09-10 v4 math.IT

Abstract

Multi-server single-message private information retrieval is studied in the presence of side information. In this problem, KK independent messages are replicatively stored at NN non-colluding servers. The user wants to privately download one message from the servers without revealing the index of the message to any of the servers, leveraging its MM side information messages. We assume that the servers only know the number of the side information messages available at the user but not their indices. We prove a converse bound on the maximum download rates, which coincides with the known achievability scheme proposed by Kadhe {\it et. al.}. Hence, we characterize the capacity for this problem, which is (1+1N+1N2++1NKM+11)1(1+\frac{1}{N}+\frac{1}{N^2}+\dots+\frac{1}{N^{\left\lceil \frac{K}{M+1}\right\rceil-1}})^{-1}. The proof leverages a novel concept that we call {\it virtual side information}, which, for a fixed query and any message, identifies the side information that would be needed in order to recover that message.

Keywords

Cite

@article{arxiv.1809.09861,
  title  = {Converse for Multi-Server Single-Message PIR with Side Information},
  author = {Su Li and Michael Gastpar},
  journal= {arXiv preprint arXiv:1809.09861},
  year   = {2024}
}

Comments

The proof in this draft has some issues. The lower bound (equation 28) can be further optimized by designing the distribution for queries. Our proof only works for the symmetric and constant downloading cases where each query is selected with equal probability and downloads the same number of bits from each server

R2 v1 2026-06-23T04:18:43.483Z