Project Grant 2319781
- This Project Grant award for $225,000 from the National Science Foundation (NSF) Engineering program (CFDA 47.041) is funding research by the University of Florida on hierarchical federated learning (HFL) over highly dense and overlapping next-generation (NextG) wireless network deployments. The key objectives are to: (i) design short-term bandwidth allocation for HFL under dense and heterogeneous deployments, (ii) develop a long-term optimization framework to solve user selection and...
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $199,999 to San Francisco State University to develop a resilient next-generation (NextG) network design for federated learning over mobile devices. The key products and services to be delivered under this 2-year award include: Exploiting serverless computing at the network edge to efficiently provide machine learning computing...
- This Project Grant award, valued at $150,000.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program. The project aims to develop a novel Next Generation (NextG) network design to support resilient Federated Learning (FL) over large-scale heterogeneous mobile devices. Key technical objectives include: Exploiting serverless computing at the network edge to provide resilient and efficient ML...
- This $100,000 Project Grant award was made by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Kennesaw State University Research And Service Foundation, Inc. (KSU R&SF). The project, titled "Collaborative Research: CISE MSI: RDP: CNS: Towards the Resilient NextG Network Design for Federated Learning over Mobile Devices," aims to develop a novel next-generation (NextG) network design to address the...
- 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 $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 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program, CFDA 47.070, provides $149,990 to the Stevens Institute of Technology to develop a novel next-generation (NextG) network architecture that can support resilient federated learning over mobile devices. The project aims to address challenges faced by resource-constrained stakeholders in intelligent mobile applications and services, such as spectrum, energy, and computing...
- The National Science Foundation Division of Computer and Network Systems awarded a $234,800 Project Grant to the University of Colorado Colorado Springs to support research titled "COLLABORATIVE RESEARCH: CNS CORE: SMALL: HIERARCHICAL FEDERATED LEARNING OVER WIRELESS EDGE NETWORKS: PERFORMANCE ANALYSIS AND OPTIMIZATION." The period of performance for this award is from November 1, 2021 through October 31, 2024. The research is being conducted under the NSF's Computer and Information...
- The University of South Florida was awarded a $233,000 Project Grant from the National Science Foundation Division of Electrical, Communications and Cyber Systems. The grant supports collaborative research titled "COLLABORATIVE RESEARCH: REAL-TIME DATA-DRIVEN ANOMALY DETECTION FOR COMPLEX NETWORKS" under the NSF Engineering program (CFDA 47.041). The research aims to develop real-time data-driven techniques for anomaly detection in complex networks. The work will leverage large,...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Auburn University a $252,000 Project Grant titled "CCSS: COLLABORATIVE RESEARCH: QUALITY-AWARE DISTRIBUTED COMPUTATION FOR WIRELESS FEDERATED LEARNING: CHANNEL-AWARE USER SELECTION, MINI-BATCH SIZE ADAPTATION, AND SCHEDULING" under the Engineering (47.041) federal grant program. The award will support research from August 15, 2021 to July 31, 2024 to develop techniques for quality-aware...
The University of South Florida (USF) received a $225,000 Project Grant award from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems. The grant, awarded under the NSF Engineering program (CFDA 47.041), funds collaborative research on "Hierarchical Federated Learning Over Highly-Dense and Overlapping NextG Wireless Deployments: Orchestrating Resources for Performance." The project aims to address challenges in deploying Hierarchical Federated Learning (HFL) over next-generation (NextG) wireless networks, such as high user/edge server density and overlapping coverage. The research focuses on three key areas: 1) designing short-term bandwidth allocation for HFL under dense, heterogeneous deployments; 2) developing a long-term optimization framework for user selection and association in HFL; and 3) improving HFL when mobile clients can connect to multiple edge servers. The successful completion of this research has the potential to transform NextG system deployment and operations, supporting a wide range of ML-powered applications and services.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $225.0k | 7/22/23 |