38 citations · 38 across the 1 of their papers we have counts for
4 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…
Distributed Subgradient Methods and Quantization Effects
Angelia Nedić, Alex Olshevsky, Asuman Ozdaglar +1
We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objective functio…