The National Science Foundation awarded a $219,999 Project Grant under the Engineering program (CFDA 47.041) to the University of California, Davis for research titled "CCSS: COLLABORATIVE RESEARCH: QUALITY-AWARE DISTRIBUTED COMPUTATION FOR WIRELESS FEDERATED LEARNING: CHANNEL-AWARE USER SELECTION, MINI-BATCH SIZE ADAPTATION, AND SCHEDULING." The award period is from October 1, 2021 through July 31, 2024. The research will develop techniques for channel-aware user selection, mini-batch...
This $500,000 National Science Foundation Project Grant through the Integrative Activities program (CFDA 47.083) funds research at Auburn University towards efficient and fast hierarchical federated learning in heterogeneous wireless edge networks. The university will conduct research over five years to develop fundamental understandings and adaptive, efficient algorithms and schemes for wireless hierarchical federated learning. This addresses challenges from non-uniform device configurations,...
Auburn University was awarded a $383,835 Project Grant from the National Science Foundation Division of Computer and Network Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support collaborative research titled "COLLABORATIVE RESEARCH: CNS CORE: MEDIUM: DATA AUGMENTATION AND ADAPTIVE LEARNING FOR NEXT GENERATION WIRELESS SPECTRUM SYSTEMS" from October 1, 2021 to September 30, 2024. The research aims to advance 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...
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...
This Project Grant award of $185,428 from the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure, under the NSF's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will fund research at Auburn University to develop an edge-friendly cyberinfrastructure that enables efficient, secure, and privacy-preserving federated learning (FL) for intelligent transportation system (ITS) applications. The project aims to advance FL capabilities on...
The National Science Foundation awarded Auburn University a $498,762 project grant under the Engineering program (CFDA 47.041) to develop federated deep learning techniques for distributed additive manufacturing. The two-year award beginning September 1, 2021 will support Auburn University's work to create a federated deep learning framework that enables ubiquitous distributed additive manufacturing across networked nodes. Auburn University will collaborate with sub-awardees the University of...
This $225,000 federal Project Grant award was provided by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) to the University of Florida. The award funds a collaborative research project titled "Hierarchical Federated Learning over Highly-Dense and Overlapping NextG Wireless Deployments: Orchestrating Resources for Performance." The key objectives of this 2-year research project are to: (i) design short-term bandwidth allocation strategies for hierarchical...
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 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...