Private Aggregation with Application to Distributed Optimization

Bidragets oversatte titel: Privat Summation med Applikation i Distribueret Optimering

Katrine Tjell, Rafal Wisniewski

Publikation: Bidrag til tidsskriftLetterpeer review

5 Citationer (Scopus)
44 Downloads (Pure)

Abstract

This letter presents a fully distributed private aggregation protocol that can be employed in dynamical networks where communication is only assumed on a neighbor-to-neighbor basis. The novelty of the scheme is its low overhead in communication and computation due to a pre-processing phase that can be executed even before the participants know their input to aggregation. Moreover, the scheme is resilient to node drop-outs, and it is defined without introducing any trusted or untrusted third parties. We prove the privacy of the scheme itself and subsequently, we discuss the privacy leakage caused by the output of the scheme. Finally, we discuss implementation of the proposed protocol to solve distributed optimization problems using two versions of the alternating direction method of multipliers (ADMM).

Bidragets oversatte titelPrivat Summation med Applikation i Distribueret Optimering
OriginalsprogEngelsk
Artikelnummer9274412
TidsskriftIEEE Control Systems Letters
Vol/bind5
Udgave nummer5
Sider (fra-til)1591-1596
Antal sider6
ISSN2475-1456
DOI
StatusUdgivet - 2021

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