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Mathematics > Optimization and Control

arXiv:1812.08843 (math)
[Submitted on 20 Dec 2018 (v1), last revised 24 Dec 2018 (this version, v2)]

Title:Decentralized Decision-Making Over Multi-Task Networks

Authors:Sahar Khawatmi, Abdelhak M. Zoubir, Ali H. Sayed
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Abstract:In important applications involving multi-task networks with multiple objectives, agents in the network need to decide between these multiple objectives and reach an agreement about which single objective to follow for the network. In this work we propose a distributed decision-making algorithm. The agents are assumed to observe data that may be generated by different models. Through localized interactions, the agents reach agreement about which model to track and interact with each other in order to enhance the network performance. We investigate the approach for both static and mobile networks. The simulations illustrate the performance of the proposed strategies.
Comments: 26 pages, 13 figures, Journal paper
Subjects: Optimization and Control (math.OC); Multiagent Systems (cs.MA); Machine Learning (stat.ML)
Cite as: arXiv:1812.08843 [math.OC]
  (or arXiv:1812.08843v2 [math.OC] for this version)
  https://doi.org/10.48550/arXiv.1812.08843

Submission history

From: Sahar Khawatmi [view email]
[v1] Thu, 20 Dec 2018 21:14:13 UTC (2,294 KB)
[v2] Mon, 24 Dec 2018 12:47:00 UTC (2,294 KB)
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