Networked control systems (NCSs) are rapidly gaining in popularity, both in academia and industry. Advancements in control strategies and network technologies enable the systems to closely interact with their environment and share data. Treating communication as a shared resource, as suggested in [1], is an important step to scale NCSs to problems involving many agents. In this paper, we consider NCSs with multiple spatially distributed agents, whose dynamics are independent, but that are coupled through a joint control objective and communicate via a shared network. Figure 1 depicts two agents representative for one communication link in such an NCS. While communication between agents is beneficial or even necessary for coordination (e.g., formation control [2], or multi-agent balancing [3]), the network constitutes a shared and scarce resource and, hence, its usage shall be limited. Event-triggered state estimation (ETSE) [4]-[8] has been proposed to reliably exchange sensor or state data between agents, but with limited inter-agent communication. Many ETSE methods utilize dynamics models to predict other agents' states or measurements (see Figure 1), in order to anticipate their behavior without the need for continuous data transmissions.