Project Grant 2312617
- This Project Grant award from the National Science Foundation (NSF) Office of Integrative Activities (CFDA 47.083) provides $210,000 to Clemson University to develop a harmonious federated intelligence framework for edge computing systems. The key products and services to be delivered include: An imputation-based approach to handle missing data features and values in heterogeneous edge computing data. A parallel grow-and-prune sparse training framework to optimize learning model architectures...
- 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...
- 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...
- 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...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award, with a total funding of $174,770, supports the development of an adaptive, federated, continuous learning system that uses a novel federated, semi-supervised learning framework. This framework aims to retrain deep neural network models on distributed, unlabeled, heterogeneous data from edge devices, while leveraging explainable AI techniques to expedite local training. The...
- 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 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 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...
- Lehigh University received a $175,000 Project Grant award from the National Science Foundation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to conduct research towards improving the handling of heterogeneity and personalization in federated learning. The University will develop mathematical models and efficient algorithms to address issues in heterogeneous federated learning caused by data and device diversity. Researchers will design advanced...
- 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...
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 edge computing environments. Key products and services include: 1) Imputation-based approaches to address missing data features and values, 2) A parallel grow-and-prune sparse training framework to optimize learning model topologies for hardware resource constraints and data characteristics, 3) Adaptive data compression schemes for efficient data migration across heterogeneous edges, and 4) Fine-grained control mechanisms for semi-asynchronous federated learning to adapt hardware resource allocation and data migration. The project aims to validate the framework through data-driven simulations and an integrated hardware platform, as well as a large-scale prototype deployment on the NSF FABRIC testbed.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $224.7k | 8/11/23 |