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math.OC2019
Distributed Optimization Based on Gradient-tracking Revisited: Enhancing Convergence Rate via Surrogation
Ying Sun, Amir Daneshmand, Gesualdo Scutari
We study distributed multiagent optimization over (directed, time-varying) graphs. We consider the minimization of subject to convex constraints, where is the smooth stro…
math.OC2018
Achieving Linear Convergence in Distributed Asynchronous Multi-agent Optimization
Ye Tian, Ying Sun, Gesualdo Scutari
This papers studies multi-agent (convex and \emph{nonconvex}) optimization over static digraphs. We propose a general distributed \emph{asynchronous} algorithmic framework whereby…