NSF award 2513164 · University of Alabama in Huntsville

Collaborative Research: SaTC: CORE: Small: SHIELD: Enabling Multi-modal Distributed Learning over Aerial Networks

Final report due

28 January 2029

in 833 days · The award ends on 30 September 2028.

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award ending 2028-09-30 · Research.gov
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Extension request16 Aug 2028in 668 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2028in 703 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 30 September 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2029.

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Award card

Award number: 2513164
Period of support: 1 Oct 2025 – 30 Sep 2028
Amount: $599,830
Awardee: University of Alabama in Huntsville, Huntsville, AL
Program: Secure &Trustworthy Cyberspace
Directorate: CSE

Abstract

Unmanned Aerial Vehicles (UAVs) are becoming increasingly vital for applications such as disaster response, environmental monitoring, infrastructure inspection, and cybersecurity. These airborne platforms can collect diverse types of data in real time, offering valuable input for training high-performance machine learning models. However, conventional machine learning techniques often rely on centralized training…

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