Wireless Federated Learning for 6G Networks

讲座名称：Wireless Federated Learning for 6G Networks

讲座人：George K. Karagiannidis 教授

讲座时间：5月31日16:00

讲座地点：Zoom会议直播（ID: 534 960 4445 密码： 897420）

讲座人介绍：

George K. Karagiannidis（IEEE研究员）现任希腊塞萨洛尼基亚里士多德大学电气与计算机工程系教授，并且是无线通信与信息处理集团的和负责人。他的研究兴趣是广泛的数字通信系统和信号处理领域，重点是无线通信、光无线通信、无线能量传输与应用、生物医学工程通信与信号处理。Dr. Karagiannidis是《IEEE通讯快报》的主编，目前担任《IEEE通讯学会开放期刊》的副主编。Dr. Karagiannidis是电气工程所有领域的高引用作者之一，在2015-2020年连续六年被Clarivate Analytics评为科学网高引用研究员。

讲座内容：

Conventional machine learning techniques are conducted in a centralized manner. Recently, the massive volume of generated wireless data, the privacy concerns and the increasing computing capabilities of wireless end-devices have led to the emergence of a promising decentralized solution, termed as Wireless Federated Learning (WFL). In this talk, the application of WFL in 6G networks will be presented. After analyzing the key concepts of WFL, we will discuss the core challenges of WFL imposed by the wireless environment. Finally, we shed light to the future directions of WFL, aiming to compose a constructive integration of FL into the future wireless networks. Finally, a novel communication protocol for WFL networks, that is based on NOMA will be introduced and optimized.

主办单位：通信工程学院