A decentralized primal-dual method and its time-varying variant achieve O(1/k^2) ergodic convergence for strongly convex consensus optimization with agent-specific conic constraints.
Consensus in ad hoc WSNs with noisy links - Part I: Distributed estimation of deterministic signals,
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A Decentralized Primal-dual Method for Constrained Minimization of a Strongly Convex Function
A decentralized primal-dual method and its time-varying variant achieve O(1/k^2) ergodic convergence for strongly convex consensus optimization with agent-specific conic constraints.