Visible to the public Differentially Private Iterative Synchronous ConsensusConflict Detection Enabled

TitleDifferentially Private Iterative Synchronous Consensus
Publication TypeConference Paper
Year of Publication2012
AuthorsZhenqi Huang, University of Illinois at Urbana-Champaign, Sayan Mitra, University of Illinois at Urbana-Champaign, Geir Dullerud, University of Illinois at Urbana-Champaign
Conference NameWorkshop on Privacy in the Electronic Society (WPES 2012)
Conference LocationRaleigh, NC
KeywordsIterative consensus; privacy; convergence; distributed agreement, UIUC

The iterative consensus problem requires a set of processes or agents with different initial values, to interact and update their states to eventually converge to a common value. Pro- tocols solving iterative consensus serve as building blocks in a variety of systems where distributed coordination is re- quired for load balancing, data aggregation, sensor fusion, filtering, and synchronization. In this paper, we introduce the private iterative consensus problem where agents are re- quired to converge while protecting the privacy of their ini- tial values from honest but curious adversaries. Protecting the initial states, in many applications, suffice to protect all subsequent states of the individual participants.

We adapt the notion of differential privacy in this setting of iterative computation. Next, we present (i) a server-based and (ii) a completely distributed randomized mechanism for solving differentially private iterative consensus with adver- saries who can observe the messages as well as the internal states of the server and a subset of the clients. Our analysis establishes the tradeoff between privacy and the accuracy.

Citation Keynode-23372

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Differentially Private Iterative Synchronous Consensus