Project Grant 2312157

Award Date 10/1/23
Completion Date 9/30/26
Dollars Obligated $350K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Pittsburgh, PA 15260, USA
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This Project Grant award of $349,868 from the National Science Foundation (NSF) Division of Computer and Network Systems supports collaborative research by the University of Pittsburgh to expedite continual online learning on edge computing platforms. The key research objectives are to:

(i) Develop an attention-guided "smart layer freezing" technique to reduce computational costs by dynamically freezing converged layers of deep neural network (DNN) models during continual online learning.

(ii) Design an efficient "in-situation learning" framework for edge devices that selectively delays and merges fine-tuning iterations to reduce the frequency of costly model retraining.

(iii) Implement "hardware-support memorization" to further reduce fine-tuning computations and memory accesses on edge devices.

This 3-year award, running from October 2023 to September 2026, aims to simultaneously achieve adaptiveness and energy efficiency for continual online learning on resource-constrained edge platforms. The project also includes educational and outreach components to engage undergraduate students and increase diversity in computer science and engineering.

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