May 7, 2021

15. Wireless for Machine Learning (with Carlo Fischione)

Machine learning builds on the collection and processing of data. Since the data often are collected by mobile phones or internet-of-things devices, they must be transferred wirelessly to enable machine learning. In this episode, Emil Björnson and Erik G. Larsson are visited by Carlo Fischione, a Professor at the KTH Royal Institute of Technology. The conversation circles around distributed machine learning and how the wireless technology can evolve to support learning applications via network slicing, information-aware communication, and over-the-air computation. To learn more, they recommend the article “Wireless for Machine Learning” (https://arxiv.org/abs/2008.13492). Carlo’s website is https://people.kth.se/~carlofi/ and the Machine Learning for Communications ETI has the website https://mlc.committees.comsoc.org. Music: On the Verge by Joseph McDade. Visit Erik’s website https://liu.se/en/employee/erila39 and Emil’s website https://ebjornson.com/

More episodes

Load more

Podbean App

Play this podcast on Podbean App