NSF Workshop held on Radio Frequency Dataset Generation, Access and Sharing. June 6- 7, 2022.

On-going data collection drives and international priorities and rules. 

Application domains for AI/ ML in wireless research and a live demonstration of a data recording API developed jointly by our team at NEU and National Instruments. Live demo was shown of the API for RF data collection on USRPs as well as of the execution of a processing pipeline for running ML based predictions on the data. 

Privacy protection in RF datasets, which covered the need for clarity and easier accessibility to privacy protection rules that need to be followed with respect to RF data, and discussion in general on the concept of privacy, analyzing scenarios where RF data might inadvertently leak unintended information as well as incentives behind privacy-intrusive activities.  

Dataset generation barriers covering usability and scalability of datasets, on whether we can have reproducible RF scenarios. Discussions also covered the importance of competitions in data collection and demonstrations of research progress on a focused problem using relevant datasets.  

Trust and confidence building in datasets. 

Data collection on PAWR platforms covering the opportunities and resources available and how more people might effectively engage and share and use RF datasets.