NSF award 2452818 · Virginia Polytechnic Institute and State University

PDaSP Track 3: Testbed for Enhancing Privacy and Robustness of Federated Learning Systems

Final report due

28 January 2029

in 833 days · The award ends on 30 September 2028.

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Decide about an extension2 Jun 2028in 593 days
award ending 2028-09-30 · Research.gov
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Extension request16 Aug 2028in 668 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2028in 703 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2029in 833 days
award ending 2028-09-30 · 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 30 September 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2029.

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Award card

Award number: 2452818
Period of support: 1 Oct 2025 – 30 Sep 2028
Amount: $366,670
Awardee: Virginia Polytechnic Institute and State University, Blacksburg, VA
Program: TIP-CHIPS KTA-8 Data-Cybrsecur, Privacy Preserving Data Sharin
Directorate: TIP

Abstract

Traditional machine learning often involves collecting data from multiple sources, which can raise significant privacy concerns. One approach has emerged as a promising solution to solve this challenge by enabling models to be trained across many different sources without directly sharing private data. This approach has become particularly valuable in sensitive sectors such as medical diagnostics, where individual…

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