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Leveraging Diversity for Achieving Resilient Consensus in ...
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由 F Ghawash 著作2019被引用 11 次 — We propose a distributed control policy that utilizes heterogeneity in the network to achieve resilient consensus in adversarial environment.
Leveraging Diversity for Achieving Resilient Consensus in ...
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由 F Ghawash 著作2019被引用 11 次 — We propose a distributed control policy that utilizes heterogeneity in the network to achieve resilient consensus in adversarial environment.
(PDF) Leveraging Diversity for Achieving Resilient ...
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由 F Ghawash 著作2019被引用 11 次 — We show that, by such a diversification of nodes, attacker's ability to change the underlying network structure is significantly reduced.
Leveraging Diversity for Achieving Resilient Consensus in ...
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A resilient estimation algorithm is developed and it is demonstrated that even relatively sparse networks that either exhibit node-diversity, ...
Leveraging Diversity for Achieving Resilient Consensus in ...
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Bibliographic details on Leveraging Diversity for Achieving Resilient Consensus in Sparse Networks.
Faiq Ghawash
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On the impacts of redundancy, diversity, and trust in resilient ... Leveraging diversity for achieving resilient consensus in sparse networks. F ...
Waseem Abbas
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Leveraging Diversity for Achieving Resilient Consensus in Sparse Networks. IFAC-PapersOnLine, 2019. DownloadEdit. Research paper thumbnail of On the Impacts of ...
Conditions (iii) and (iv) for (r, s)-robustness with coloring.
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from publication: Leveraging Diversity for Achieving Resilient Consensus in Sparse Networks | A networked system can be made resilient against adversaries ...
Improving Network Connectivity and Robustness Using ...
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... resilient consensus is possible in sparse networks containing few trusted nodes ... Leveraging Diversity for Achieving Resilient Consensus in Sparse Networks.
Abstract Resilient Consensus Protocol with Coloring (RCP-C ...
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Using these ideas, we propose a distributed control policy that utilizes heterogeneity in the network to achieve resilient consensus in adversarial environment.