NSF award 2440455 · Iowa State University

CAREER: A Principled Framework for Multi-Task Representation Learning for Scalable, Decentralized, and Safe Sequential Decision-Making

Final report due

29 December 2030

in 1,533 days · The award ends on 31 August 2030.

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Decide about an extension3 May 2030in 1293 days
award ending 2030-08-31 · Research.gov
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Extension request17 Jul 2030in 1368 days
award ending 2030-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2030in 1403 days
award ending 2030-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2030in 1533 days
award ending 2030-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2030in 1533 days
award ending 2030-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2030in 1533 days
award ending 2030-08-31 · 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 31 August 2030.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2030.

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Award card

Award number: 2440455
Period of support: 1 Sep 2025 – 31 Aug 2030
Amount: $515,000
Awardee: Iowa State University, Ames, IA
Program: EPCL: Energy, Power, Control,
Directorate: ENG

Abstract

Real-world systems are composed of interconnected entities that collaborate to perform diverse yet interrelated tasks, often requiring sequential decision-making. Over the past decade, multi-task learning has emerged as a powerful paradigm for collaborative learning, significantly enhancing efficiency while enabling privacy-preserving knowledge sharing. One of the most promising approaches to learning-based control…

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