NSF award 2619080 · Texas A&M University

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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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
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PAPPG 24-1: “financially closed out 120 days after their expiration date”

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So the final report is due by 30 April 2030.

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Award card

Award number: 2619080
Period of support: 1 Jan 2027 – 31 Dec 2029
Amount: $120,000
Awardee: Texas A&M University, College Station, 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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