The National Science Foundation (NSF) awarded a $490,133 Project Grant under the Computer and Information Science and Engineering (CISE) program to the FPF Education and Innovation Foundation. This three-year grant, commencing on July 1, 2024, supports the establishment of a Research Coordination Network (RCN) for Privacy Preserving Data Sharing and Analytics. The RCN is bringing together experts from academia, industry, and government to address challenges in developing, deploying, and...
The National Science Foundation Division of Computer and Network Systems awarded a $199,076 Project Grant to the FPF Education And Innovation Foundation for collaborative research titled "A Large-Scale, Longitudinal Resource to Advance Technical and Legal Understanding of Textual Privacy Information." The three-year award runs from July 1, 2021 to June 30, 2024 under the Computer and Information Science and Engineering program (CFDA #47.070). The grant will support the development of a...
The U.S. Department of Energy's Office of Science has awarded a $525,000 Project Grant under the Office of Science Financial Assistance Program (CFDA 81.049) to Rutgers, The State University to support the project "PRIVACY-PRESERVING FEDERATED LEARNING FOR SCIENCE: BUILDING SUSTAINABLE AND TRUSTWORTHY FOUNDATION MODELS". The project aims to develop privacy-preserving federated learning techniques for scientific applications, with the goal of creating sustainable and trustworthy...
The federal Project Grant award, valued at $599,998.00 and funded by the Department of Energy's Office of Science Financial Assistance Program (CFDA 81.049), supports research on "COHERENT EXCITON-MAGNON-PHOTON INTERACTION IN VAN DER WAALS MAGNETS" at the Research Foundation of the City University of New York (RFCUNY). The award, which runs from August 1, 2024 to July 31, 2025, aims to advance fundamental scientific understanding and U.S. energy, economic, and national security...
The U.S. Department of Energy's Office of Science awarded a $525,000 Project Grant to Arizona State University (ASU) to conduct research on "Privacy-Preserving Federated Learning for Science: Building Sustainable and Trustworthy Foundation Models." The project, funded under the Office of Science Financial Assistance Program (CFDA 81.049), aims to develop advanced AI-based privacy protection technologies to enable secure and collaborative scientific research. ASU, a Hispanic-serving and...
This $209,368 federal Project Grant award from the National Science Foundation's Integrative Activities program (CFDA 47.083) aims to develop trusted, low-overhead tools that enable computation directly on encrypted data. The goal is to accelerate the creation of new capabilities that allow confidential data to be shared with untrusted parties who can extract insights without accessing the unencrypted data. This would increase public trust in modern AI tools and enable data-powered, socially...
This $600,000 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to integrate federated learning with power systems to better predict electricity consumption and lower the cost of electricity generation. The project will develop machine learning methods, specifically recurrent neural networks, to forecast day-ahead electricity consumption using distributed data from smart meters while preserving consumer privacy. Key scientific...
The Department of Energy (DOE) Office of Science awarded a $400,000 Project Grant to the University of North Carolina at Chapel Hill (UNC-CH) under the Office of Science Financial Assistance Program (CFDA 81.049) to fund the "FEDNEMO: PHYSICS-INFORMED AND ENERGY-AWARE FEDERATED LEARNING OF NEURAL MULTI-OPERATOR LEARNERS AS SCIENTIFIC FOUNDATION MODELS" project. This 1-year award, effective September 1, 2024, supports fundamental scientific research to advance U.S. energy, economic, and...
The National Science Foundation awarded a $1.2 million Project Grant to Stanford University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for work on the Foundations of Decentralized Data Science from July 1, 2022 to June 30, 2025. The award will support development of schemes for performing common data science tasks like analytics and inference on distributed data located across networks without collecting all data in a single location. The...
The National Science Foundation awarded a $161,673 Project Grant to the George Washington University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to support research on "Privacy and Fairness in Planning when using Third-Party, Heterogeneous Data Sources." Morgan State University and the University of Illinois received sub-awards to assist with delivering project services. The January 15, 2021 award provides funding through December...