This $381,264 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports research at the University of Florida to develop hardware-efficient artificial intelligence techniques for federated learning across diverse Internet of Things devices. Over a three-year period ending September 2025, the research team will work to enable quantization and pruning of neural networks in a way that accounts for the varied computational...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $522,786 to the University of Georgia Research Foundation to conduct research aimed at advancing the state-of-the-art in uncertainty-aware sensing and management for Internet of Things (IoT) applications. Specifically, the project will develop novel Bayesian machine learning tools to enhance the uncertainty quantification, scalability, and adaptivity of IoT systems, particularly for...
The National Science Foundation awarded a $721,021 project grant to the University of Michigan under the Engineering federal grant program (CFDA 47.041) to develop new foundations for multi-fidelity prediction, estimation, and learning under uncertainty in dynamical systems from September 1, 2023 through August 31, 2028. The University will conduct research to enable autonomous systems to estimate the effects of prediction uncertainty on planning and control decisions, with a focus on autonomous...
This Project Grant award, provided by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041), will fund research to develop scalable and reliable coordination capabilities for embodied intelligent networks - collections of distributed autonomous agents that can sense, reason, communicate, and act. The $519,577 award to the Regents of the University of Michigan, with a performance period from Sep 1, 2024 to Aug 31, 2029, aims to address challenges in achieving...
This $300,004 National Science Foundation project grant supports the development of privacy-preserving Internet of Things analytics and behavior prediction methodologies at North Carolina State University from October 2022 through September 2025. Funded under the NSF's Computer and Information Science and Engineering program (CFDA #47.070), the research aims to address challenges related to resource utilization, security, and privacy posed by growing IoT adoption in home networks. The project...
This $299,898 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at New York University to develop privacy-preserving machine learning models for Internet of Things device analytics and behavior prediction. The three-year award beginning October 1, 2022 aims to address privacy and network resource challenges posed by growing IoT adoption in homes. Specifically, the university will create an automated infrastructure...
The National Science Foundation (NSF) awarded a $543,995 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Regents of the University of Michigan. This 3-year grant, starting on September 1, 2024, aims to develop statistical tools to assess the societal impacts of predictive models and policy recommendations in order to improve social welfare. The technical focus is on leveraging the phenomenon of "performativity", where the predictive...
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 National Science Foundation (NSF) Division of Computer and Network Systems awarded a $170,499 Project Grant under the CFDA 47.070 Computer and Information Science and Engineering program to The Ohio State University. The two-year grant, awarded on August 1, 2023, aims to develop a networked system that enables accurate, efficient, and scalable N-way sensing using a combination of different Internet of Things (IoT) hardware platforms. The project will deliver reusable system designs,...
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...