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Selfish Distributed Optimization
2012In this talk, we present a selection of important concepts and results in algorithmic game theory in recent years, some of which received the 2012 Godel Prize, along with some applications in distributed settings. A famous solution concept for non-cooperative games is the Nash equilibrium.
Burkhard Monien, Christian Scheideler
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On the probability distribution of distributed optimization strategies
2013 IEEE Global Conference on Signal and Information Processing, 2013We study the steady-state probability distribution of diffusion and consensus strategies that employ constant step-sizes to enable continuous adaptation and learning. We show that, in the small step-size regime, the estimation error at each agent approaches a Gaussian distribution.
Chen, Jianshu, Sayed, Ali H.
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A distributional interpretation of robust optimization
2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2010Motivated by data-driven decision making and sampling problems, we investigate probabilistic interpretations of robust optimization (RO). We establish a connection between RO and distributionally robust stochastic programming (DRSP), showing that the solution to any RO problem is also a solution to a DRSP problem.
Huan Xu 0001 +2 more
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Designing Games for Distributed Optimization
IEEE Journal of Selected Topics in Signal Processing, 2011The central goal in multiagent systems is to design local control laws for the individual agents to ensure that the emergent global behavior is desirable with respect to a given system level objective. Ideally, a system designer seeks to satisfy this goal while conditioning each agent's control law on the least amount of information possible ...
Li, Na, Marden, Jason R.
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Optimal Control of Distributions
Computational Mathematics and Modeling, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Transition-optimal Token Distribution
Fundamenta Informaticae, 1997There is given a graph, that models a communication network of a multiprocessor system, and there are tokens (jobs) allocated to nodes of the graph. The task is to distribute the tokens evenly, subject to the constraint that they may be moved only along the edges of the graph.
Bogdan S. Chlebus +2 more
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Toward Optimally Distributed Computation
Neural Computation, 1998This article introduces the concept of optimally distributed computation in feedforward neural networks via regularization of weight saliency. By constraining the relative importance of the parameters, computation can be distributed thinly and evenly throughout the network.
Peter J. Edwards, Alan F. Murray
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Distributed coordination in optimization algorithms
1997In this paper we present a parallel algorithm for the solution of discrete optimization problems, which is a typical example of highly irregularly structured problems.
DI MARTINO B. +3 more
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Optimal Distributed Arc-Consistency
Constraints, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On the optimality of localized distributed controllers
Proceedings of the 2005, American Control Conference, 2005., 2005Design of optimal distributed controllers with a priori assigned localisation constraints is a difficult problem. Alternatively, one can ask the following question: given a localised distributed exponentially stabilising controller, is it inversely optimal with respect to some cost functional?
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