Project Grant 2114283
- Virginia Polytechnic Institute & State University (Virginia Tech) was awarded a $165,200 project grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070) to support research titled "COLLABORATIVE RESEARCH: CNS CORE: SMALL: HIERARCHICAL FEDERATED LEARNING OVER WIRELESS EDGE NETWORKS: PERFORMANCE ANALYSIS AND OPTIMIZATION." Under this three-year award beginning November 1, 2021, Virginia Tech researchers will analyze...
- The National Science Foundation (NSF) awarded a $275,000 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program to the University of Massachusetts (UMass) for the "COLLABORATIVE RESEARCH: NETS: SMALL: COLENE: COOPERATIVE LEARNING IN HETEROGENEOUS EDGE NETWORKS" project. The project aims to develop and evaluate algorithms that enable multiple networked devices to cooperatively learn and make decisions in heterogeneous environments, focusing...
- The National Science Foundation awarded a $275,000 Project Grant to Carnegie Mellon University (CMU) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) for the project "COLLABORATIVE RESEARCH: NETS: SMALL: COLENE: COOPERATIVE LEARNING IN HETEROGENEOUS EDGE NETWORKS." The grant, with a period of performance from October 1, 2025 to September 30, 2028, supports research to develop algorithms for multiple heterogeneous devices in networked...
- This $348,573 project grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering federal grant program (CFDA 47.041), will fund research at North Carolina State University from September 2022 through August 2025. The university will advance the frontiers of federated learning through exploring tradeoffs among learning performance, communication efficiency, privacy protection, and system robustness under a generalized...
- This two-year, $368,179 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) funds research on developing innovative edge learning algorithms over wireless multi-access channels. Specifically, the University of California, Davis is collaborating with Arizona State University to take a principled approach to edge learning framework design using gradient-based and gradient-free optimization methods under computing, power, and...
- The National Science Foundation (NSF) awarded a $599,410 Project Grant to Carnegie Mellon University (CMU) to develop a collaborative learning framework for dynamic and diverse computing environments, particularly focused on edge devices. The grant, under NSF's Computer and Information Science and Engineering program (CFDA 47.070), aims to innovate model-parallel collaborative learning by designing unique model architectures and efficient algorithms, facilitate practical on-device training and...
- The National Science Foundation (NSF) awarded a $224,672 Project Grant on August 15, 2023 to Florida State University (FSU) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports the project "Collaborative Research: SHF: Medium: Towards Harmonious Federated Intelligence in Heterogeneous Edge Computing via Data Migration." The goal is to develop a framework to enable federated learning with high accuracy and efficiency in heterogeneous...
- The University of Pittsburgh received a $316,000 Project Grant award from the National Science Foundation Division of Computer and Network Systems to support research titled "COLLABORATIVE RESEARCH: CNS CORE: SMALL: TOWARDS UNSUPERVISED LEARNING ON RESOURCE CONSTRAINED EDGE DEVICES WITH NOVEL STATISTICAL CONTRASTIVE LEARNING SCHEME." The three-year award, issued on October 1, 2021 with a completion date of September 30, 2024, will fund research into unsupervised learning techniques...
- 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 Division of Information and Intelligent Systems awarded Duke University a $150,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) for the period of September 1, 2021 through August 31, 2023. The grant funds the "EAGER: Distributed Heterogeneous Data Analytics via Federated Learning" project. This project supports the development of federated learning techniques to enable distributed and privacy-preserving...
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 Science and Engineering program (CFDA 47.070). This program supports investigator-initiated research and education across computing, communications, and information science and engineering. Specifically, this Project Grant will fund the University of Colorado Colorado Springs to analyze performance and optimization of hierarchical federated learning over wireless edge networks. Results from this research could help advance the development and use of distributed computing technologies.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $234.8k | 7/7/21 |