Fundamental Limits of Caching for Demand Privacy against Colluding Users
Qifa Yan, Daniela Tuninetti

TL;DR
This paper establishes fundamental limits and proposes a novel caching scheme that ensures demand privacy against colluding users in shared-link coded caching systems, achieving near-optimal performance across various regimes.
Contribution
It introduces a new privacy key scheme for demand privacy in coded caching and derives a converse bound, demonstrating near-optimality and improved efficiency over existing methods.
Findings
The privacy key scheme outperforms existing virtual user schemes in some regimes.
The scheme achieves near-optimal load within a constant factor across all regimes.
The scheme requires significantly lower subpacketization than prior approaches.
Abstract
This work investigates the problem of demand privacy against colluding users for shared-link coded caching systems, where no subset of users can learn any information about the demands of the remaining users. The notion of privacy used here is stronger than similar notions adopted in past work and is motivated by the practical need to insure privacy regardless of the file distribution. Two scenarios are considered: Single File Retrieval (SFR) and Linear Function Retrieval (LFR), where in the latter case each user demands an arbitrary linear combination of the files at the server. The main contributions of this paper are a novel achievable scheme for LFR, referred as privacy key scheme, and a new information theoretic converse bound for SFR. Clearly, being SFR a special case of LFR, an achievable scheme for LFR works for SFR as well, and a converse for SFR is a valid converse for LFR as…
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Taxonomy
TopicsCaching and Content Delivery · Opportunistic and Delay-Tolerant Networks · Cooperative Communication and Network Coding
