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Title:Ep 15. Wireless for Machine Learning (with Carlo Fischione) [Wireless Future Podcast]
Duration:54:23
Viewed:14,599
Published:06-05-2021
Source:Youtube

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” (arxiv.org/abs/2008.13492). Carlo’s website is people.kth.se/~carlofi/ and the Machine Learning for Communications ETI has the website mlc.committees.comsoc.org/. Music: On the Verge by Joseph McDade. Visit Erik’s website liu.se/en/employee/erila39 and Emil’s website ebjornson.com/ You can also listen to the audio-only version of this podcast: Apple Podcasts: podcasts.apple.com/se/podcast/wireless-future/id15… Google Podcasts: podcasts.google.com/feed/aHR0cHM6Ly9mZWVkLnBvZGJlY… Spotify: open.spotify.com/show/0RDeni3rDUx5HnZWJGACqO #WirelessFuture #Podcast #MachineLearning

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