Collaborative Research: CISE MSI: RDP: CNS: Towards the Resilient NextG Network Design for — NSF Award to San Francisco State Univ
Next generation (NextG) network systems are envisioned to be complex, ubiquitous, and smart, which are likely to consist of millions of heterogeneous mobile devices to connect everything digital, enable machine-to-machine communications, and support a variety of critical machine learning (ML) paradigms, including the m
| Award title | Collaborative Research: CISE MSI: RDP: CNS: Towards the Resilient NextG Network Design for |
|---|---|
| Award ID | 2431594 |
| Awardee | San Francisco State University |
| City | SAN FRANCISCO |
| State | CA |
| Amount obligated | $199,999 |
| Principal investigator | Jingyi Wang |
| Program | CISE MSI Research Expansion |
| Start date | 01/01/2025 |
| Abstract | Next generation (NextG) network systems are envisioned to be complex, ubiquitous, and smart, which are likely to consist of millions of heterogeneous mobile devices to connect everything digital, enable machine-to-machine communications, and support a variety of critical machine learning (ML) paradigms, including the most popular federated learning (FL) over mobile devices. However, stakeholders in many intelligent mobile applications/services are resource constrained in terms of spectrum, energ |
| Source | NSF Awards |
$799/mo
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