Collaborative Research: NeTS: Small: CoLeNe: Cooperative Learning in Heterogeneous Edge Ne — NSF Award to University of Massachuse
Cooperation of multiple devices to learn and make decisions based on their environment is especially valuable for Internet of Things (IoT) and other applications. Existing algorithms for cooperative learning often assume that all devices face the same set of decision choices, which is not often the case in networked sy
| Award title | Collaborative Research: NeTS: Small: CoLeNe: Cooperative Learning in Heterogeneous Edge Ne |
|---|---|
| Award ID | 2533814 |
| Awardee | University of Massachusetts Amherst |
| City | AMHERST |
| State | MA |
| Amount obligated | $275,000 |
| Principal investigator | Mohammadhassan Hajiesmaili |
| Program | Networking Technology and Syst |
| Start date | 10/01/2025 |
| Abstract | Cooperation of multiple devices to learn and make decisions based on their environment is especially valuable for Internet of Things (IoT) and other applications. Existing algorithms for cooperative learning often assume that all devices face the same set of decision choices, which is not often the case in networked system settings. This project, CoLeNe (Cooperative Learning in heterogeneous Networks), proposes to design and evaluate algorithms for multiple devices to cooperatively learn for dec |
| Source | NSF Awards |
$799/mo
Try NSFGrants →