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math.OC2022
DISH: A Distributed Hybrid Optimization Method Leveraging System Heterogeneity
Xiaochun Niu, Ermin Wei
We study distributed optimization problems over multi-agent networks, including consensus and network flow problems. Existing distributed methods neglect the heterogeneity among ag…
math.OC2022
Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition
Ignacio Aravena, Daniel K. Molzahn, Shixuan Zhang +12
The optimal power flow problem is central to many tasks in the design and operation of electric power grids. This problem seeks the minimum cost operating point for an electric pow…
math.OC2022★ 4 cited
DISH: A Distributed Hybrid Primal-Dual Optimization Framework to Utilize System Heterogeneity
Xiaochun Niu, Ermin Wei
We consider solving distributed consensus optimization problems over multi-agent networks. Current distributed methods fail to capture the heterogeneity among agents' local computa…