Learning at the Wireless Edge
Distinguished Lecture mit Prof. H. Vincent Poor
Distinguished Lecture mit Prof. H. Vincent Poor
Demnächst kommt wieder eine spannende Distinguished Lecture: Am 06. Juli hält Prof. H. Vincent Poor von der Princeton University einen Vortrag mit dem Thema „Learning at the Wireless Edge”. Dieses Mal schon um 15:00 Uhr! Wir freuen uns auf alle, die online dazukommen.
Wireless networks can be used as platforms for machine learning, taking advantage of the fact that data is often collected at the edges of networks, and also mitigating the latency and privacy concerns that backhauling data to the cloud can entail. Focusing primarily on federated learning, this talk will discuss several issues arising in this context including the effects of wireless transmission on learning performance, the allocation of wireless resources to learning, and privacy leakage. A number of open problems will also be discussed.
H. Vincent Poor is the Michael Henry Strater University Professor at Princeton University, where research interests are in the areas of information theory, machine learning and network science, and their applications in wireless networks, energy systems and related fields. He has also held visiting appointments at several other universities as well, including most recently at Berkeley and Cambridge. Among his recent publications is the book Machine Learning and Wireless Communications (Cambridge University Press, 2022). Dr. Poor is a member of the U.S. National Academy of Engineering and the U.S. National Academy of Sciences, and he is a foreign member of the Royal Society and other national and international academies. He received the IEEE Alexander Graham Bell Medal in 2017.