Project Grant 2312227
Award Date
10/1/23
Completion Date
9/30/27
Dollars Obligated
$146K
Federal Agency
Division of Computing and Communication Foundations
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Salt Lake City, UT 84112, USA
Similar Awards
This National Science Foundation (NSF) Division of Computing and Communication Foundations grant, awarded under the CFDA 47.070 Computer and Information Science and Engineering program, supports a collaborative research project on the fundamental limits of cache-aided multi-user private function retrieval. The $177,723 award to the University of North Texas Research and Innovation Division, valid from October 1, 2023 to September 30, 2027, will enable the development of a principled framework...
The University of Illinois was awarded a $223,670 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) to conduct collaborative research on the fundamental limits of cache-aided multi-user private function retrieval. The goal of this 4-year project is to develop a principled framework for privately retrieving the output of complex functions based on both locally-computed data and data received from remote servers, in order to...
This three-year $599,999 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program (CFDA 47.070), will support research into novel methods for computing aggregate statistics on streaming data in a privacy-preserving manner. Specifically, the University of California, Los Angeles will explore efficient algorithms to privately compute telemetry data from user devices sending...
This $499,842 National Science Foundation project grant supports research at the University of Southern California to develop privacy-preserving techniques for video caching and delivery systems using federated learning. Specifically, the grant will fund research and development of machine learning algorithms to efficiently cache and stream video content at wireless network edges while preserving user privacy. Key activities include techniques that do not require transmitting models to central...
This Project Grant award from the National Science Foundation's Division of Computing and Communication Foundations, under CFDA Program 47.070 "Computer and Information Science and Engineering", provides $225,441 to Harvard University to research fundamental limits of privacy-enhancing technologies. The goal is to develop new methods that optimize privacy-preserving techniques while minimizing distortion and bias, in order to enable more accurate, fair, and privacy-protected machine...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) totaling $189,898 aims to accelerate the development of efficient, scalable, and practical privacy-preserving machine learning solutions. The key products and services to be delivered under this 3-year award, which begins on October 1, 2024, include: Orchestrating information representation and model sparsity in the encryption domain to...
This $173,754 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop an innovative privacy-preserving federated learning (FL) framework suitable for heterogeneous edge devices. The key objectives are to: 1) enable tailored device-specific models to mitigate biases and enhance performance across diverse computational capabilities and data distributions, 2) utilize differential privacy...
The National Science Foundation (NSF) awarded a $387,044 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Arizona State University to improve the fundamental limits of privacy-enhancing technologies (PETs). The research aims to develop new PET methods that optimize the balance between preserving individual privacy and enabling comprehensive data analysis for societal benefit in domains such as healthcare, education, and resource allocation. Key...
The National Science Foundation (NSF) awarded a $1.2M Project Grant to the University of Virginia under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to enhance the security and privacy of community cyberinfrastructures (CI) for collaborative research. This 3-year project focuses on developing advanced techniques to secure data management and computation within CI systems, including centralized computing, distributed computing, and data computation. The...
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...