Collaborative Research: CNS Core: Small: Timely Computing and Learning over Communication — NSF Award to University of Virginia Ma
Due to the large volume of datasets and the stringent communication requirements by modern applications, the exchange of data for learning and computing purposes needs to be done in a timely manner. This project introduces the notion of age of information (AoI), used to assess timeliness in networks, into the study of
| Award title | Collaborative Research: CNS Core: Small: Timely Computing and Learning over Communication |
|---|---|
| Award ID | 2531789 |
| Awardee | University of Virginia Main Campus |
| City | CHARLOTTESVILLE |
| State | VA |
| Amount obligated | $96,070 |
| Principal investigator | Jing Yang |
| Program | Networking Technology and Syst |
| Start date | 08/01/2025 |
| Abstract | Due to the large volume of datasets and the stringent communication requirements by modern applications, the exchange of data for learning and computing purposes needs to be done in a timely manner. This project introduces the notion of age of information (AoI), used to assess timeliness in networks, into the study of federated learning (FL), with the aim of providing low-latency and communication-efficient means for data exchange in large-scale FL systems. The proposal focuses on designing nove |
| Source | NSF Awards |
$799/mo
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