Project Grant 2440455
- The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $472,000 Project Grant to the Regents of the University of Minnesota, a non-profit 1862 land grant college, to develop a general framework for designing and analyzing decentralized and federated learning systems. The proposed work aims to unify various distributed algorithms and provide insights to streamline their design and analysis across a range of applications beyond machine learning, such as control...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded a $500,000 Project Grant to Texas A&M Engineering Experiment Station, doing business as Tees, to support research towards a principled framework for resilient, data efficient and scalable reinforcement learning for control. The award period is from February 1, 2021 through January 31, 2026. The research is funded under the NSF Directorate for Engineering's Engineering program (CFDA 47.041), which...
- The National Science Foundation (NSF) awarded a $194,000 Project Grant under the Engineering program (CFDA 47.041) to Georgia Tech Research Corp to conduct research on safe reinforcement learning. The project aims to develop new approaches for training, improving, and evaluating reinforcement learning policies that are robust to distribution shift and non-stationarity, with the goal of ensuring safety in applications such as robotics, autonomous driving, and power systems. Key innovations...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $517,612 CAREER grant to the University of Texas at Austin on March 1, 2025. This 4-year project will develop new foundations of scalable and resilient distributed reinforcement learning for real-time autonomous cooperation in open multi-agent systems. The overarching goal is to design new learning and control methods that enable agents to interact effectively in open systems, adapt in time-varying environments,...
- The National Science Foundation (NSF) awarded a $299,998 Project Grant to Oklahoma State University under the NSF Directorate for Engineering (CFDA 47.041) program. This grant supports fundamental research to enhance the efficiency, robustness, and privacy of decentralized machine learning algorithms for processing distributed datasets. The project aims to develop a theoretical framework for efficient and private decentralized Bayesian learning methods that can produce accurate and reliable...
- The Project Grant award of $131,520 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to advance decentralized learning methods that can improve data privacy, reduce communication bottlenecks, and enhance learning performance in modern, distributed data systems. The key research thrusts of this 5-year project (4/15/2025 - 3/31/2030) include developing finite-time aggregation networks for faster convergence in decentralized...
- This federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $193,000 to the Trustees of Princeton University over a 3-year period starting September 1, 2024. The funding supports collaborative research on developing safe reinforcement learning techniques that can be applied in domains like robotics, autonomous driving, and power systems. The key research thrusts include: 1) training robust policies using distributionally robust approaches;...
- The National Science Foundation (NSF) awarded a $100,000 Project Grant under its Integrative Activities program (CFDA 47.083) to Rutgers, The State University located in Piscataway, New Jersey. The three-year grant, awarded on August 1, 2023, will fund research to develop novel statistical inference tools and computationally efficient approaches for reinforcement learning in high-dimensional, non-identically distributed data settings. Key focus areas include statistical inference for...
- 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...
- This National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems award, CFDA 47.041 Engineering, will provide $193,000 from September 1, 2024 to August 31, 2027 to New York University (NYU) to develop new theories and methodologies for safe reinforcement learning in domains such as robotics, autonomous driving, and power systems. The key products and services to be delivered under this Project Grant include: 1) Formulating safety measures as general objectives...
The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $515,000 Project Grant to Iowa State University of Science and Technology to develop a principled framework for multi-task representation learning to enable scalable, decentralized, and safe sequential decision-making in real-world systems. The 5-year project, starting on September 1, 2025, will focus on addressing key challenges in reinforcement learning, such as data scarcity, scalability, and safety, through a novel algorithm called (De)Centralized Alternating Gradient Descent and Minimization (ALTGDMIN). This approach aims to enable fast and federated representation learning while tackling data heterogeneity, communication efficiency, and safety concerns. The project will integrate research and education to train students in the interdisciplinary field of data science and control, addressing the need for skilled workforce development in this emerging area of societal importance.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $515.0k | 8/18/25 |