Distributed Decision Making in Network Systems: Algorithms, Fundamental limits, and Applications
Recent evolution in sensing, computation, and communication has fostered the emergence of cyber-physical network systems. Regardless of specific applications, one central goal is to shape the network collective behavior through the design of admissible local decision-making algorithms. This is challenging especially due to the constraints of local connectivity, imperfect communication, time-varying uncertainty, and complex intertwined physics and human interactions. In this talk, I will present our recent progress in investigating the fundamental performance limit placed by these various challenges, designing fast and scalable algorithms to achieve (or approximate) the performance limits, and implementing the algorithms on real-world applications.