Fundamental Limits of Demand-Private Coded Caching
Chinmay Gurjarpadhye, Jithin Ravi, Sneha Kamath, Bikash Kumar Dey, and, Nikhil Karamchandani

TL;DR
This paper investigates the fundamental limits of demand-private coded caching, proposing schemes that preserve user demand privacy while approaching optimal memory-rate trade-offs, with exact results for specific cases.
Contribution
It introduces demand-private caching schemes derived from non-private ones, and provides bounds and exact trade-offs for demand privacy in coded caching.
Findings
Demand-private schemes can be constructed from non-private schemes.
Achievable memory-rate pairs are within a factor of 3 or 8 of optimal.
Exact trade-offs are determined for the case when N ≥ K=2.
Abstract
We consider the coded caching problem with an additional privacy constraint that a user should not get any information about the demands of the other users. We first show that a demand-private scheme for files and users can be obtained from a non-private scheme that serves only a subset of the demands for the files and users problem. We further use this fact to construct a demand-private scheme for files and users from a particular known non-private scheme for files and users. It is then demonstrated that, the memory-rate pair , which is achievable for non-private schemes with uncoded transmissions, is also achievable under demand privacy. We further propose a scheme that improves on these ideas by removing some redundant transmissions. The memory-rate trade-off achieved using our schemes is shown to be within a…
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.
