Cache-Aided Multi-User Private Information Retrieval using PDAs
Kanishak Vaidya, B Sundar Rajan

TL;DR
This paper introduces cache-aided multi-user private information retrieval schemes using placement delivery arrays, reducing subpacketization and upload costs while maintaining near-optimal download efficiency.
Contribution
It proposes novel MuPIR schemes based on PDAs that lower subpacketization and upload costs, and demonstrates order optimality in download cost for certain PDA-based schemes.
Findings
Significantly reduces subpacketization levels.
Substantially decreases user upload costs.
Achieves order optimal download cost for PDA-based schemes.
Abstract
We consider the problem of cache-aided multi-user private information retrieval (MuPIR). In this problem, independent files are replicated across non-colluding servers. There are users, each equipped with cache memory which can store files. Each user wants to retrieve a file from the servers, but the users don't want any of the servers to get any information about their demand. The user caches are filled with some arbitrary function of the files before the users decide their demands, known as the placement phase. After deciding their demands, users cooperatively send queries to the servers to retrieve their desired files privately. Upon receiving the queries, servers broadcast coded transmissions which are a function of the queries they received and the files, known as the delivery phase. Conveying queries to the servers incurs an upload cost for the users, and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCaching and Content Delivery · Cryptography and Data Security · Cooperative Communication and Network Coding
