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JOTA
2010
117views more  JOTA 2010»
13 years 5 months ago
Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization
We consider a distributed multi-agent network system where the goal is to minimize a sum of agent objective functions subject to a common set of constraints. For this problem, we p...
S. Sundhar Ram, Angelia Nedic, Venugopal V. Veerav...
ICASSP
2009
IEEE
14 years 2 months ago
Distributed subgradient projection algorithm for convex optimization
—We consider constrained minimization of a sum of convex functions over a convex and compact set, when each component function is known only to a specific agent in a timevarying...
Sundhar Srinivasan Ram, Angelia Nedic, Venugopal V...
CDC
2008
IEEE
150views Control Systems» more  CDC 2008»
14 years 1 months ago
Subgradient methods and consensus algorithms for solving convex optimization problems
— In this paper we propose a subgradient method for solving coupled optimization problems in a distributed way given restrictions on the communication topology. The iterative pro...
Björn Johansson, Tamás Keviczky, Mikae...
ATAL
2010
Springer
13 years 8 months ago
Distributed multiagent learning with a broadcast adaptive subgradient method
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...
ICASSP
2011
IEEE
12 years 11 months ago
Optimal wireless networks based on local channel state information
We consider distributed algorithms to optimize random access multihop wireless networks in the presence of fading. Since the associated optimization problem is neither convex nor ...
Yichuan Hu, Alejandro Ribeiro