Decentralized Decision-Making Over Multi-Task Networks

被引：3

作者：

Khawatmi, Sahar ^{[1
]}

Zoubir, Abdelhak M. ^{[1
,3
]}

Sayed, Ali H. ^{[2
,3
]}

机构：

[1] Tech Univ Darmstadt, Signal Proc Grp, D-64283 Darmstadt, Germany

[2] Ecole Polytech Fed Lausanne, Adapt Syst Lab, CH-1015 Lausanne, Switzerland

[3] European Assoc Signal Proc EURASIP, Lausanne, Switzerland

来源：

SIGNAL PROCESSING | 2019年 / 160卷

关键词：

Decentralized processing; Decision-making; multi-task networks; Adaptive networks;

D O I：

10.1016/j.sigpro.2019.01.029

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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. (C) 2019 Elsevier B.V. All rights reserved.

引用

页码：229 / 236

页数：8

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