38 citations · 101 across the 5 of their papers we have counts for
5 papers
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…
Distributed and Recursive Parameter Estimation in Parametrized Linear State-Space Models
S. Sundhar Ram, V. V. Veeravalli, A. Nedic
We consider a network of sensors deployed to sense a spatio-temporal field and estimate a parameter of interest. We are interested in the case where the temporal process sensed by…
Sum Capacity of the Gaussian Interference Channel in the Low Interference Regime
V. Sreekanth Annapureddy, Venugopal V. Veeravalli
New upper bounds on the sum capacity of the two-user Gaussian interference channel are derived. Using these bounds, it is shown that treating interference as noise achieves the sum…
Resource Allocation for Wireless Fading Relay Channels: Max-Min Solution
Yingbin Liang, Venugopal V. Veeravalli, H. Vincent Poor
As a basic information-theoretic model for fading relay channels, the parallel relay channel is first studied, for which lower and upper bounds on the capacity are derived. For the…