2 citations · 2 across the 4 of their papers we have counts for
6 papers · 1 filter
Delay-agnostic Asynchronous Coordinate Update Algorithm
Xuyang Wu, Changxin Liu, Sindri Magnusson +1
We propose a delay-agnostic asynchronous coordinate update algorithm (DEGAS) for computing operator fixed points, with applications to asynchronous optimization. DEGAS includes nov…
Rate analysis of dual averaging for nonconvex distributed optimization
Changxin Liu, Xuyang Wu, Xinlei Yi +2
This work studies nonconvex distributed constrained optimization over stochastic communication networks. We revisit the distributed dual averaging algorithm, which is known to conv…
Self-Triggered Adaptive Model Predictive Control of Constrained Nonlinear Systems: A Min-Max Approach
Kunwu Zhang, Changxin Liu, Yang Shi
In this paper, a self-triggered adaptive model predictive control (MPC) algorithm is proposed for constrained discrete-time nonlinear systems subject to parametric uncertainties an…
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…
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…
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…