This Project Grant award of $373,385 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the "Wireless Infernets" research project at the University of Florida. The project aims to develop models, algorithms, and protocols to enable collaborative machine learning inference on the network path, integrating data transfer and machine learning to improve performance for applications like video surveillance, smart healthcare, and industrial IoT. Key goals include: (i) designing distributed inference routing algorithms, (ii) developing multi-armed bandit approaches for inference routing under uncertain network conditions, and (iii) creating distributed multi-agent deep reinforcement learning algorithms for inference routing in multi-user wireless networks. This research is expected to promote the understanding of synergies between distributed inference and networking, catalyzing a paradigm shift in future wireless networks to support emerging applications. The project also includes an educational component to engage students, especially from underrepresented groups, in computer science and engineering.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $373.4k | 3/7/25 |