NSF award 2619079 · University of Texas at San Antonio

Collaborative Research: A Subspace Optimization Framework for Resource-Efficient and Private Fine-Tuning of Large Language Models

Final report due

30 April 2030

in 1,290 days · The award ends on 31 December 2029.

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PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Dec 2029in 1160 days
award ending 2029-12-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due30 Apr 2030in 1290 days
award ending 2029-12-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due30 Apr 2030in 1290 days
award ending 2029-12-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out30 Apr 2030in 1290 days
award ending 2029-12-31 · 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 December 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 30 April 2030.

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Award card

Award number: 2619079
Period of support: 1 Jan 2027 – 31 Dec 2029
Amount: $120,000
Awardee: University of Texas at San Antonio, SAN Antonio, TX
Program: CSCS: Circuits and Systems for
Directorate: ENG

Abstract

Large language models (LLMs) have transformed artificial intelligence (AI) applications by enabling advanced language understanding, content generation, and decision-making across many domains. However, adapting these general-purpose models to specialized tasks often requires substantial computing resources and access to sensitive, domain-specific data. These requirements can limit the ability of small…

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