116 citations · 1k across the 78 of their papers we have counts for
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Information Flow Optimization in Inference Networks
Aditya Deshmukh, Jing Liu, Venugopal V. Veeravalli +1
The problem of maximizing the information flow through a sensor network tasked with an inference objective at the fusion center is considered. The sensor nodes take observations, c…
Data-driven Voltage Regulation in Radial Power Distribution Systems
Hanchen Xu, Alejandro D. Domínguez-García, Venugopal V. Veeravalli +1
In this paper, we develop a data-driven voltage regulation framework for distributed energy resources (DERs) in a balanced radial power distribution system. The objective is to det…
Adaptive Sequential Stochastic Optimization
Craig Wilson, Venugopal Veeravalli, Angelia Nedich
A framework is introduced for sequentially solving convex stochastic minimization problems, where the objective functions change slowly, in the sense that the distance between succ…
Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization
S. Sundhar Ram, A. Nedich, V. V. Veeravalli
We consider a distributed multi-agent network system where the goal is to minimize a sum of convex objective functions of the agents subject to a common convex constraint set. Each…
Incremental Stochastic Subgradient Algorithms for Convex Optimization
S Sundhar Ram, A Nedich, V. V. Veeravalli
In this paper we study the effect of stochastic errors on two constrained incremental sub-gradient algorithms. We view the incremental sub-gradient algorithms as decentralized netw…