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A Simple Low Complexity Locally Private Compression Scheme

  • University of Bristol
  • Indian Institute of Technology Hyderabad
  • D. E. Shaw and Co.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

It is shown that a memoryless source can be compressed arbitrarily close to its entropy rate while guaranteeing the private local decoding of any source symbol. This is achieved through a remarkably simple compression scheme that effectively separates compression and privacy.

Original languageEnglish
Title of host publicationISIT 2025 - 2025 IEEE International Symposium on Information Theory, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331543990
DOIs
Publication statusPublished - 1 Jan 2025
Event2025 IEEE International Symposium on Information Theory, ISIT 2025 - Ann Arbor, United States
Duration: 22 Jun 202527 Jun 2025

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8095

Conference

Conference2025 IEEE International Symposium on Information Theory, ISIT 2025
Country/TerritoryUnited States
CityAnn Arbor
Period22/06/2527/06/25

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