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

**Budget Signal Score:** 40/100

| Field | Value |
|---|---|
| Institution | Texas A&M University |
| Location | COLLEGE STATION, TX |
| Project | Collaborative Research: A Subspace Optimization Framework for Resource-Efficient and Private Fine-Tuning of Large Language Models |
| Award amount | $120,000 |
| Obligated so far | $120,000 |
| Awarded | 2026-08-14 |
| Period | 2027-01-01 to 2029-12-31 |
| Program | CSCS: Circuits and Systems for |
| Directorate / division | ENG / ECCS |
| Award ID | 2619080 |

## Why this score
- Award of $120,000.
- Equipment- and compute-heavy field.

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2619080). Last refreshed: 2026-11-03T18:10:42.804Z.
Award data comes from the NSF Awards API and may be amended by NSF. Institution-level only; investigator contact details are not included. Informational only.