Project Grant 2221742
- This $719,922 federal Project Grant, awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, aims to revolutionize artificial intelligence (AI) education by establishing a remotely accessible AI of Things (AIoT) infrastructure. The project, led by the University of Florida, will make state-of-the-art AIoT labs available to a broader student audience for immersive learning of AI with hands-on experiences. Key goals include...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program award of $122,705 to Clemson University provides funding to develop novel approaches for federated on-device intelligence in Internet of Things (IoT) systems. The project focuses on two key challenges: (1) enabling federated knowledge sharing among resource-constrained and heterogeneous IoT devices without requiring private data, and (2) enabling federated domain adaptation with...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $145,830 to Old Dominion University Research Foundation (Odurf) to develop a secure and decentralized AI learning system for heterogeneous IoT networks. The project aims to design a novel distributed learning method that can effectively utilize diverse data types from various IoT devices without relying on a central server. It will also...
- This National Science Foundation Project Grant of $299,181 supports research and education efforts toward opportunistic, fast, and robust in-cache artificial intelligence acceleration at the edge for Internet of Things devices. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the award to New Jersey Institute of Technology from January 1, 2023 to December 31, 2025 aims to design and deploy new hardware-oriented AI algorithms for efficient image...
- This $200,000 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program supports research by the New Jersey Institute of Technology (NJIT) to develop novel techniques for analyzing spatial-temporal data in AI-driven Internet of Things (AIoT) systems. The key focus areas of the research include: (i) improving the efficiency of data analysis through novel graph neural network pruning and topology...
- 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...
- This $219,332 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program aims to develop a secure and efficient decentralized federated learning (DFL) system. The key products and services to be delivered include: Developing computational theories, models, and prototype systems to establish the foundations for trustworthy DFL, addressing both high-performance accuracy and security with privacy...
- This federal Project Grant, awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, aims to design and develop a secure and efficient decentralized federated learning (DFL) system. The $380,667 grant, awarded on August 15, 2024, will fund research to address communication, computation, and security issues in DFL, which enables training of data-hungry machine learning models on local devices without sharing raw data. The...
- This National Science Foundation (NSF) Project Grant award, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $159,979 to the New York Institute of Technology (NYIT) from September 1, 2023 to August 31, 2026. The grant supports the development of transformative machine learning and data analytics technologies to enable efficient and robust artificial intelligence (AI)-based applications on resource-constrained edge computing devices such as IoT sensors,...
- This five-year, $199,995 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop a co-designed framework of hardware, software, and algorithms enabling extreme-scale machine learning systems for emerging artificial intelligence of things and internet of senses technologies. Specifically, the Saint Louis University team will pursue five research thrusts: developing hardware and compiler approaches for large-scale split learning...
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 resources of IoT platforms. They will also seek to identify new privacy vulnerabilities when applying AI models across decentralized systems and develop mitigation strategies. The project aims to establish an AIoT testbed and take an architecture-algorithm-hardware co-design approach to maximize the potential of federated intelligence and expand the scope of AIoT applications. If successful, this work could fill a critical gap by facilitating the deployment of resource-efficient AI methods for collaborative modeling without centralized data migration.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 8/17/22 | ||
| Not listed | $190.6k | 6/16/22 |