Convergence Rate of Distributed Averaging Dynamics and Optimization in Networks

Released on by Angelia Nedić
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  • Convergence Rate of Distributed Averaging Dynamics and Optimization in Networks Book Detail

  • Author : Angelia Nedić
  • Release Date : 2015
  • Publisher :
  • Genre : Computer networks
  • Pages : 100
  • ISBN 13 : 9781680830415
  • File Size : 18,18 MB
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Convergence Rate of Distributed Averaging Dynamics and Optimization in Networks by Angelia Nedić PDF Summary

Book Description: Recent advances in wired and wireless technology lead to the emergence of large-scale networks such as Internet, wireless mobile ad-hoc networks, swarm robotics, smart-grid, and smart-sensor networks. The advances gave rise to new applications in networks including decentralized resource allocation in multi-agent systems, decentralized control of multi-agent systems, collaborative decision making, decentralized learning and estimation, and decentralized in-network signal processing. The advances also gave birth to new large cyber-physical systems such as sensor and social networks. These network systems are typically spatially distributed over a large area and may consists of hundreds of agents in smart-sensor networks to millions of agents in social networks. As such, they do not possess a central coordinator or a central point for access to the complete system information. This lack of central entity makes the traditional (centralized) optimization and control techniques inapplicable, thus necessitating the development of new distributed computational models and algorithms to support efficient operations over such networks. This tutorial provides an overview of the convergence rate of distributed algorithms for coordination and its relevance to optimization in a system of autonomous agents embedded in a communication network, where each agent is aware of (and can communicate with) its local neighbors only. The focus is on distributed averaging dynamics for consensus problems and its role in consensus-based gradient methods for convex optimization problems, where the network objective function is separable across the constituent agents.

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Multi-agent Optimization

Multi-agent Optimization

File Size : 82,82 MB
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This book contains three well-written research tutorials that inform the graduate reader about the forefront of current research in multi-agent optimization. Th