We derive fundamental performance limitations for intrinsic average consensus problems in open multi-agent systems, which are systems subject to frequent arrivals and departures of agents. Each agent holds a value, the objective agents is collaboratively estimate values presently system. Algori...

Average consensus plays a key role in distributed networks, with applications ranging from time synchronization, information fusion, load balancing, to decentralized control. Existing average algorithms require individual agents exchange explicit state values their neighbors, which leads the undesirable disclosure of sensitive state. In this paper, we propose novel algorithm for time-varying di...