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math.OC2019
Towards an convergence rate for distributed dual averaging
Changxin Liu, Huiping Li, Yang Shi
Recently, distributed dual averaging has received increasing attention due to its superiority in handling constraints and dynamic networks in multiagent optimization. However, all…
math.OC2019
Resource-aware Exact Decentralized Optimization Using Event-triggered Broadcasting
Changxin Liu, Huiping Li, Yang Shi
This work addresses the decentralized optimization problem where a group of agents with coupled private objective functions work together to exactly optimize the summation of local…
math.OC2018
A unitary distributed subgradient method for multi-agent optimization with different coupling sources
Changxin Liu, Huiping Li, Yang Shi
In this work, we first consider distributed convex constrained optimization problems where the objective function is encoded by multiple local and possibly nonsmooth objectives pri…