This paper studies the multi-agent average consensus problem under the requirement of differential privacy of the agents’ initial states against an adversary that has access to all the messages. We first establish that a differentially private consensus algorithm cannot guarantee convergence of the agents’ states to the exact average in distribution, which in turn implies the same impossibility for other stronger notions of convergence.

Abstract: Despite their importance within the energy sector, buildings have not kept pace with technological improvements and particularly the evolution of intelligent features. A primary obstacle in enabling intelligent buildings is their highly distributed and diverse nature.

Abstract: This project aims to develop the theory and technology for a new frontier in cyber-physical systems: cyber- physical manipulation. The ultimate goal of cyber-physical manipulation is to enable a group of hundreds or thousands of individual robotic agents to collaboratively explore an environment, manipulate objects in that environment, and transport those objects to desired locations.

Abstract:  Despite their importance within the energy sector, buildings have not kept pace with technological improvements and particularly  the evolution of intelligent features. A primary obstacle  in enabling intelligent buildings is their highly distributed and diverse nature.

Abstract: The project will demonstrate a Holonic Multi-agent System Architecture capable of adaptively controlling future electrical power distribution systems (PDS), which are expected to include a large number of renewable power generators, energy storage devices, and advanced metering and control devices. The project will produce a general, extensible, and secure cyber architecture based on holonic multi-agent principles to support adaptive PDS.