Call For Spotlight Talks

We are interested in work that discusses the challenges and opportunities for using machine learning in resource constrained environments. We define resource constrained broadly to refer to communities with limited resources required for machine learning training (limited compute) and/or inference (limited internet connectivity, high sensitivity to data prices or low bandwidth). The work can address any of the following:

Submission Instructions

Please use the form below to submit your talk.

Submit here spotlight talk here.

Successful applicants will each give a 8 minute oral presentation (with slides) followed by 2 minutes of questions from the audience. When making your slides, remember that you will only have 8 minutes to present, so less than 10 and at most 15 slides are recommended. Slides can be in Microsoft Powerpoint, a link to Google slides or a PDF of the slides.

As a speaker, you will have the opportunity to have your work profiled and engage with fellow researchers. Need more guidance? See some of the spotlight talks profiled in the previous ml at edge workshop.

Important Dates