The Cloud-based Distributed Radio Frequency Machine Learning project team members at work. Photo by Isabella Rossi for Virginia Tech.

A student-led research team is working with Amazon to advance use cases for machine learning within the cloud for wireless communication applications.

The Virginia Tech National Security Institute is collaborating with Amazon Web Services (AWS) to give 11 undergraduate students and a graduate research assistant experience deploying state-of-the-art machine learning algorithms in the cloud for distributed radio frequency spectrum sensing through the Emerging Technology Research Fellowship. The fellowship aims to improve the performance of radio frequency spectrum sensing algorithms by leveraging multiple sensors collaborating through the cloud.

The fellowship expands on the Amazon-Virginia Tech Initiative for Efficient and Robust Machine Learning that began in 2022 under the direction of the Sanghani Center for Artificial Intelligence and Data Analytics

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