Resiliency against malicious agents in maximum-based consensus
In this paper, we develop distributed algorithms for achieving resilient consensus via the maximum value-based approach when adversarial agents may be present in the network. The adversaries intend to prevent the nonfaulty, normal agents from reaching consensus. We extend the class of resilient meth...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2021-01-01
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| Series: | SICE Journal of Control, Measurement, and System Integration |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/18824889.2021.1988396 |