Privacy-Preserving Dual Averaging With Arbitrary Initial Conditions for Distributed Optimization

This article considers a privacy-concerned distributed optimization problem over multiagent networks, in which malicious agents exist and try to infer the privacy information of the normal ones. We propose a novel dual averaging algorithm which involves the use of a correlated perturbation mechanism...

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