This three-year $240,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), will support research to advance the practical application of distributed learning-enabled control systems. The University of Pennsylvania and Columbia University will collaborate on developing foundational theory and integrated approaches for scalable and communication-efficient distributed control. This includes...
The National Science Foundation awarded a $295,000 Project Grant to the University of Texas at Austin under the Engineering federal grant program (CFDA 47.041) on September 15, 2021. The grant supports research titled "COLLABORATIVE RESEARCH: CPS: SMALL: CO-DESIGN OF PREDICTION AND CONTROL ACROSS DATA BOUNDARIES: EFFICIENCY, PRIVACY, AND MARKETS" through August 31, 2024. The research aims to advance techniques for coordinating predictive algorithms and control systems across...
This three-year, $240,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), will support collaborative research between Columbia University and the University of Pennsylvania on scalable and communication-efficient learning-based distributed control. The researchers will develop a foundational and integrated theory of distributed learning-enabled control and approximated distributed...
This $313,839 Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at Iowa State University to advance the theory and algorithms for distribution control. The project focuses on three main challenges involving nonlinearity in dynamics, interactions among agents, and robustness of control policy. The research aims to deliver a suite of theory and algorithms for controlling distributions in dynamical systems or population ensembles,...
This $598,448 Project Grant, awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the development of theoretical and algorithmic foundations for online learning and decision-making involving sequential data under unknown stochastic models. The project aims to advance representation learning, statistical inference, and learning methodologies for real-time monitoring and control of critical infrastructure networks,...
Cornell University received a $305,824 Project Grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering (47.041) federal grant program. The award will fund research from June 2023 through May 2026 to develop a general strategy for coordinating offline resource allocation decisions with real-time operational policies across industries. The research aims to provide a context-independent coordination mechanism that can be...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports the development of distributed learning algorithms and wireless network designs at Cornell University. The $459,202 award, effective August 1, 2025 through April 30, 2026, aims to create a "transformative co-design of distributed learning algorithms and wireless networks." Key objectives include: (1) "system-aware learning" to develop resource-efficient distributed...
The National Science Foundation awarded Columbia University a $500,000 Project Grant under the Engineering (47.041) federal grant program. The grant will fund research towards developing scale-invariant identification and synthesis algorithms for distributed control of networked systems using randomization techniques. Specifically, the university will conduct foundational research in three areas: 1) learning dynamical system models from partially observed data, 2) designing robust and optimal...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research to advance the theory and algorithms for distribution control, with a focus on addressing challenges related to nonlinearity, interactions, and robustness. The $297,881 award to the Georgia Tech Research Corporation, awarded on August 1, 2025, aims to enable precision manufacturing of materials with desired properties and coordination/control of large autonomous agent swarms,...
The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $360,000 Project Grant to Carnegie Mellon University for the "Federated Optimization Over Bandwidth-Limited Heterogeneous Networks" research program. The goal of this 3-year (9/1/2023 - 8/31/2026) project is to develop a federated optimization framework for learning and decision-making by designing communication-efficient, computation-scalable, and privacy-preserving algorithms that...