  As modern systems become ever more connected with complex dynamic coupling
relationships, developing safe control methods becomes paramount. In this
paper, we discuss the relationship of node-level safety definitions for
individual agents with local neighborhood dynamics. We define a collaborative
control barrier function (CCBF) and provide conditions under which sets defined
by these functions will be forward invariant. We use collaborative node-level
control barrier functions to construct a novel \edit{decentralized} algorithm
for the safe control of collaborating network agents and provide conditions
under which the algorithm is guaranteed to converge to a viable set of safe
control actions for all agents. We illustrate these results on a networked
susceptible-infected-susceptible (SIS) model.
