แนวคิดหลัก
Legitimate agents achieve consensus despite intermittent malicious activity.
บทคัดย่อ
The content discusses achieving consensus in multi-agent systems under intermittent malicious attacks or failures. It introduces a detection algorithm to mitigate attacks, ensuring legitimate agents reach an agreement. The analysis shows that misclassification probabilities decrease over time, leading to almost sure convergence among legitimate agents. The deviation from the nominal consensus value is bounded, with a detailed explanation of the consensus dynamics and the impact of malicious agents.
สถิติ
"Legitimate agents almost surely determine their trusted neighborhood correctly with geometrically decaying misclassification probabilities."
"Legitimate agents can reach consensus almost surely, regardless of the frequency of the attack."
"The probability of misclassifying a legitimate neighbor decreases exponentially over time."
คำพูด
"Legitimate agents almost surely determine their trusted neighborhood correctly with geometrically decaying misclassification probabilities."
"Legitimate agents can reach consensus almost surely, regardless of the frequency of the attack."