  The paper considers the problem of multi-agent consensus in the presence of
adversarial agents which may try to prevent and introduce undesired influence
on the coordination among the regular agents. To our setting, we extend the
so-called mean subsequence reduced algorithms with the aim to reduce the amount
of communication via two measures: The agents exchange information in the form
of ternary data at each transmission and moreover keep the frequency of data
exchange low by employing self- and event-triggered communication. We will
observe that in hostile environments with adversaries, the self-triggered
approach can bring certain advantages over the event-triggered counterpart.
