PDaSP Track 3: Privacy-Preserving Dairy-Digitalization with Federated Learning — NSF Award to Cornell University (NY, $670,067)
Modern dairy farming generates enormous amounts of valuable information about milk production, animal health, and farm operations, but this data remains scattered across individual farms and difficult to share due to privacy concerns and technical barriers. This fragmentation prevents farmers from benefiting from advan
| Award title | PDaSP Track 3: Privacy-Preserving Dairy-Digitalization with Federated Learning |
|---|---|
| Award ID | 2453035 |
| Awardee | Cornell University |
| City | ITHACA |
| State | NY |
| Amount obligated | $670,067 |
| Principal investigator | Miel Hostens |
| Program | Special Projects, TIP-CHIPS KTA-8 Data-Cybrsecur, Privacy Preserving Data Sharin, Secure &Trustworthy Cyberspace |
| Start date | 10/01/2025 |
| Abstract | Modern dairy farming generates enormous amounts of valuable information about milk production, animal health, and farm operations, but this data remains scattered across individual farms and difficult to share due to privacy concerns and technical barriers. This fragmentation prevents farmers from benefiting from advanced computer models that could help them test different management strategies and improve their operations without disrupting actual farm activities or animal welfare. Currently, f |
| Source | NSF Awards |
$799/mo
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