The Capacity of Private Information Retrieval
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Abstract (arXiv)
In the private information retrieval (PIR) problem a user wishes to retrieve, as efficiently as possible, one out of K messages from N non-communicating databases (each holds all K messages) while revealing nothing about the identity of the desired message index to any individual database. The information theoretic capacity of PIR is the maximum number of bits of desired information that can be privately retrieved per bit of downloaded information. For K messages and N databases, we show that the PIR capacity is (1+1/N+1/N2+cdots+1/NK-1)-1. A remarkable feature of the capacity achieving scheme is that if we eliminate any subset of messages (by setting the message symbols to zero), the resulting scheme also achieves the PIR capacity for the remaining subset of messages.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Feb 2016.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 2; 2025: 1.
6 papers.
- 2024Private Counterfactual Retrievalcited by 2
- 2021Single-Server Private Linear Transformation: The Joint Privacy Casecited by 1
- 2022Private Federated Submodel Learning with Sparsificationcited by 0
- 2022Secure Embedding Aggregation for Federated Representation Learningcited by 0
- 2024Private Counterfactual Retrieval With Immutable Featurescited by 0
- 2025What If, But Privately: Private Counterfactual Retrievalcited by 0
- 2025What If, But Privately: Private Counterfactual Retrieval5 Aug 2025
- 2024Private Counterfactual Retrieval With Immutable Features15 Nov 2024
- 2024Private Counterfactual Retrieval17 Oct 2024
- 2022Secure Embedding Aggregation for Federated Representation Learning18 Jun 2022
- 2022Private Federated Submodel Learning with Sparsification31 May 2022
- 2021Single-Server Private Linear Transformation: The Joint Privacy Case9 Jun 2021