Collaborative Research: IMR: MM-1B: Privacy-Preserving Data Sharing for Mobile Internet Me — NSF Award to University of Tulsa (OK,
Mobile Internet measurement is critical to network design, resource allocation, and troubleshooting network issues. However, sharing of mobile Internet measurement data can potentially compromise user privacy. Given the wide introduction of artificial intelligence to mobile Internet measurement and traffic analytics, t
| Award title | Collaborative Research: IMR: MM-1B: Privacy-Preserving Data Sharing for Mobile Internet Me |
|---|---|
| Award ID | 2619019 |
| Awardee | University of Tulsa |
| City | TULSA |
| State | OK |
| Amount obligated | $3,170 |
| Principal investigator | Yi Qian |
| Program | CISE Research Resources |
| Start date | 02/15/2026 |
| Abstract | Mobile Internet measurement is critical to network design, resource allocation, and troubleshooting network issues. However, sharing of mobile Internet measurement data can potentially compromise user privacy. Given the wide introduction of artificial intelligence to mobile Internet measurement and traffic analytics, there is an urgent need for data sharing solutions that provide explainability in terms of the trade-offs among data quality, utility and quantity. To close the gap, the objective o |
| Source | NSF Awards |
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