A recent experiment has indicated that attacks on federated learning can reduce the machine learning model’s accuracy by 22%
Rob Calderbank of Duke University is one of those unusual academics to have spent a long time in commercial telecoms environments. Today, while he is leading Duke’s interdisciplinary work on big data, he has also recently published work on something he calls pulsones, which may contribute to a more efficient future air interface. 6GWorld caught up with him to find out more about this, and why a big data professor is worrying about radio.
6G@UT Research Centre at the University of Texas, Austin, promises to shed light on the possibilities to make 6G a reality
Will technologies enabled by 5G and beyond change the way we live? Can they improve how we experience the world or is it just hype?