NSF award 2440610 · North Carolina Agricultural & Technical State University

CAREER: Advancing Federated Learning: Incentivizing Privacy-Preserving Collaborative Learning in Dynamic Environments

Final report due

28 January 2031

in 1,563 days · The award ends on 30 September 2030.

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Decide about an extension2 Jun 2030in 1323 days
award ending 2030-09-30 · Research.gov
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Extension request16 Aug 2030in 1398 days
award ending 2030-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2030in 1433 days
award ending 2030-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2031in 1563 days
award ending 2030-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2031in 1563 days
award ending 2030-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2031in 1563 days
award ending 2030-09-30 · 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 2030.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2031.

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Award card

Award number: 2440610
Period of support: 1 Oct 2025 – 30 Sep 2030
Amount: $513,998
Awardee: North Carolina Agricultural & Technical State University, Greensboro, NC
Program: EPCL: Energy, Power, Control,
Directorate: ENG

Abstract

Federated learning is a method that enables multiple devices or organizations, referred to as clients, to collaboratively train a shared machine learning model without sharing their private data. Although it has shown promise in real-world applications, it still faces several challenges. One major issue is the lack of fairness, where clients who contribute higher-quality data do not often see their efforts properly…

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