NSF award 2638919 · Johns Hopkins University

Collaborative Research: MFAI: Mathematical Foundations of Structure-Aware Adaptive Machine Learning Algorithms

Final report due

28 January 2030

in 1,198 days · The award ends on 30 September 2029.

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award ending 2029-09-30 · Research.gov
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Final report due28 Jan 2030in 1198 days
award ending 2029-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2030in 1198 days
award ending 2029-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2030in 1198 days
award ending 2029-09-30 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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So the final report is due by 28 January 2030.

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Award card

Award number: 2638919
Period of support: 15 Oct 2026 – 30 Sep 2029
Amount: $500,000
Awardee: Johns Hopkins University, Baltimore, MD
Program: Special Projects - CCF, MSPA-INTERDISCIPLINARY
Directorate: MPS

Abstract

Recent years have witnessed rapid progress in computational algorithms for large-scale machine learning, but many advances remain segmented and disconnected. This project develops a unified mathematical framework for modern machine learning algorithms with emphasis on scalability, adaptivity, and structure-aware optimization and generalization. This framework will deepen understanding of the limitations of current…

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