Frequency estimation under multiparty differential privacy : one-shot and streaming

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Abstract

We study the fundamental problem of frequency estimation under both privacy and communication constraints, where the data is distributed among k parties. We consider two application scenarios: (1) one-shot, where the data is static and the aggregator conducts a one-time computation; and (2) streaming, where each party receives a stream of items over time and the aggregator continuously monitors the frequencies. We adopt the model of multiparty differential privacy (MDP), which is more general than local differential privacy (LDP) and (centralized) differential privacy. Our protocols achieve optimality (up to logarithmic factors) permissible by the more stringent of the two constraints. In particular, when specialized to the ε-LDP model, our protocol achieves an error of √k/(εΘ(ε) − 1) using O(k max{ε, log 1/ε}) bits of communication and O(k log u) bits of public randomness, where u is the size of the domain.

Item Type: Journal Article
Subjects: H Social Sciences > HD Industries. Land use. Labor
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH): Computer algorithms, Telecommunication systems, Computer networks , Streaming technology (Telecommunications), Data protection, Data privacy
Journal or Publication Title: Proceedings of the VLDB Endowment
Publisher: ACM
ISSN: 2150-8097
Official Date: 7 September 2022
Dates:
Date
Event
7 September 2022
Published
5 September 2022
Accepted
Volume: 15
Number: 10
Page Range: pp. 2058-2070
DOI: 10.14778/3547305.3547312
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons open licence)
Date of first compliant deposit: 7 October 2022
Date of first compliant Open Access: 7 October 2022
RIOXX Funder/Project Grant:
Project/Grant ID
RIOXX Funder Name
Funder ID
16201318
Research Grants Council, University Grants Committee
16201819
Research Grants Council, University Grants Committee
16205420
Research Grants Council, University Grants Committee
EP/V056883/1
[EPSRC] Engineering and Physical Sciences Research Council
ERC-2014-CoG 647557
European Research Council
Persistent URL: https://wrap.warwick.ac.uk/169914/

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