This National Science Foundation (NSF) Project Grant award to Purdue University, under the Computer and Information Science and Engineering program (CFDA 47.070), focuses on developing novel technologies to enable robust, fair, and explainable data-driven decision-making systems. The $466,411 award, effective July 1, 2023 through June 30, 2028, will fund research to: 1) detect and mitigate biases in machine learning model outcomes, 2) assess the validity of data for learning fair and trustworthy...
This $582,000 Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at Iowa State University of Science and Technology to develop reliable and efficient distributed machine learning model training techniques. The goal is to create redundancy and coding-theoretic methods that can tolerate worker node failures and slowdowns, while also minimizing communication overhead. This research aims...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $564,958 in funding to Carnegie Mellon University from December 1, 2024 to November 30, 2027. The project aims to advance fundamental knowledge and innovate algorithm design for resource allocation in modern computing systems that support machine learning applications. The research focuses on addressing challenges posed by high variability and...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award to Purdue University will fund a $402,777 research project titled "CAREER: REGULARIZING LARGE LANGUAGE MODELS FOR SAFE AND RELIABLE PROGRAM GENERATION." The project aims to advance the understanding of limitations in using large language models (LLMs) for program generation and develop methods to enhance the correctness, safety, and robustness of...
This Project Grant award, valued at $246,516.00 and funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), supports research to enhance the security of machine learning (ML) systems in multi-tenant cloud Field Programmable Gate Array (FPGA) environments. The key objectives of the project are to: (1) understand the vulnerabilities of multi-tenant ML cloud-FPGA systems and explore defensive approaches; (2)...
The National Science Foundation (NSF) is providing a $206,382 Project Grant under its Computer and Information Science and Engineering (CISE) program to the Illinois Institute of Technology (IIT) Sponsored Research and Programs Division. The objective of this 5-year award is to design a trustworthy, flexible, and generalizable machine learning framework that can provide robustness against common privacy and security attacks. The project will develop novel information-theoretic representation...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $640,000 from July 2024 to June 2028 to Purdue University to address critical challenges in cyberinfrastructure (CI) workforce development. The project, titled "Collaborative Research: CyberTraining: Implementation: Medium: AI and Cybersecurity Education for Cyberinfrastructure: A Hands-On Approach," aims to integrate machine...
The National Science Foundation (NSF) awarded a $406,004 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Carnegie Mellon University (CMU). The goal of this 4-year project is to develop new resource allocation policies that enable efficient and timely training of machine learning models by leveraging parallelizable computing resources. The research will focus on modeling the unique characteristics of machine learning training workloads, such as...
This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program provides $222,427 to Purdue University to secure deeply embedded software (DES) systems. The project aims to develop novel software security techniques and tools to address inherent challenges in DES, including diverse hardware/software environments, resource limitations, and legacy code. Key products include: 1) a method for hosting DES on Linux...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award provides $286,383 to the University of Delaware from September 1, 2024 to August 31, 2029. The project, titled "CAREER: ADVANCING TRUSTWORTHY MACHINE LEARNING FOR DISTRIBUTED SCIENTIFIC DATA ANALYTICS," aims to create a trustworthy optimization toolbox for geo-distributed scientific data analytics. The research focuses on innovations in robust...