CIF: Small: Resource-Constrained Distributed Multiple Testing with False Discovery Rate Co — NSF Award to University of Utah (UT,
Distributed intelligence with large amounts of local measurement data hinges on the design of devices that are capable of sensing, processing, and exchanging local information. Reliable decision-making in a collective manner is, however, a challenging task in resource-constrained scenarios, where devices are limited by
| Award title | CIF: Small: Resource-Constrained Distributed Multiple Testing with False Discovery Rate Co |
|---|---|
| Award ID | 2420146 |
| Awardee | University of Utah |
| City | SALT LAKE CITY |
| State | UT |
| Amount obligated | $199,991 |
| Principal investigator | Yu Xiang |
| Program | Comm & Information Foundations |
| Start date | 12/15/2024 |
| Abstract | Distributed intelligence with large amounts of local measurement data hinges on the design of devices that are capable of sensing, processing, and exchanging local information. Reliable decision-making in a collective manner is, however, a challenging task in resource-constrained scenarios, where devices are limited by communication costs and/or processing power. This project aims to develop a new framework for designing efficient decentralized algorithms such that the average proportion of wron |
| Source | NSF Awards |
$799/mo
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