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Ep 15. Wireless for Machine Learning (with Carlo Fischione) [Wireless Future Podcast]
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Wireless Future is a channel by Emil Björnson (Professor at KTH Royal Institute of Technology) and Erik G. Larsson (Professor at Linköping University), both IEEE Fellows and Clarivate Highly Cited Researchers. The channel focuses on wireless communications and its applications. It contains a combination of podcast episodes, popular science material, tutorial videos, lecture material from university courses, and technical presentations related to recent research. Some recurring themes are Cellular and Cell-free Massive MIMO, reconfigurable intelligent surfaces (a.k.a. intelligent reflecting surfaces), 5G, and 6G.
Ep 16. 6G and the Physical Layer (with Angel Lozano) [Wireless Future Podcast]
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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/
You can also listen to the audio-only version of this podcast:
Apple Podcasts: https://podcasts.apple.com/se/podcast...
Google Podcasts: https://podcasts.google.com/feed/aHR0...
Spotify: https://open.spotify.com/show/0RDeni3...
#WirelessFuture #Podcast #MachineLearning
Podcast: Wireless Future (All episodes)
#WirelessFuture #Podcast #MachineLearning
Ep 15. Wireless for Machine Learning (with Carlo Fischione) [Wireless Future Podcast]
14,558 views May 7, 2021 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/
You can also listen to the audio-only version of this podcast:
Apple Podcasts: https://podcasts.apple.com/se/podcast...
Google Podcasts: https://podcasts.google.com/feed/aHR0...
Spotify: https://open.spotify.com/show/0RDeni3...
#WirelessFuture #Podcast #MachineLearning … ...more
Podcast: Wireless Future (All episodes)
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