Multiagent Consensus Subject to Communication and Privacy Constraints

We consider a multiagent consensus problem in the presence of adversarial agents. The adversaries are able to listen to the interagent communications and try to estimate the state of the agents. The agents have a limited bit rate for communication and are required to quantize the transmitted signal...

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Vydáno v:IEEE transactions on control of network systems Ročník 9; číslo 2; s. 943 - 955
Hlavní autoři: Maity, Dipankar, Tsiotras, Panagiotis
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 01.06.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:2325-5870, 2372-2533
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Abstract We consider a multiagent consensus problem in the presence of adversarial agents. The adversaries are able to listen to the interagent communications and try to estimate the state of the agents. The agents have a limited bit rate for communication and are required to quantize the transmitted signal in order to meet the bit rate constraint of the communication channel. We propose a consensus protocol that is protected against the adversaries, i.e., the expected mean-square error of the adversary state estimate is lower bounded. In order to deal with the bit rate constraint, we propose a dynamic quantization scheme that guarantees protected consensus .
AbstractList We consider a multiagent consensus problem in the presence of adversarial agents. The adversaries are able to listen to the interagent communications and try to estimate the state of the agents. The agents have a limited bit rate for communication and are required to quantize the transmitted signal in order to meet the bit rate constraint of the communication channel. We propose a consensus protocol that is protected against the adversaries, i.e., the expected mean-square error of the adversary state estimate is lower bounded. In order to deal with the bit rate constraint, we propose a dynamic quantization scheme that guarantees protected consensus .
Author Maity, Dipankar
Tsiotras, Panagiotis
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  organization: Guggenheim School of Aerospace Engineering and the Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, USA
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SubjectTerms Adversarial agents
Consensus algorithm
Consensus protocol
Control systems
Eavesdropping
limited communication
Multiagent systems
Network systems
privacy
protected consensus
Quantization (signal)
Technological innovation
Title Multiagent Consensus Subject to Communication and Privacy Constraints
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