報告題目: Convergence of Federated Learning
報告人：Geoffrey Ye Li 教授，帝國理工學院，智能傳輸與處理實驗室
時間：2023年12月20日，周三，15:00 - 16:00
地點：無線谷A6411
Abstract:
Federated learning (FL) becomes increasingly attractive in the areas of wireless communications and machine learning due to its powerful learning ability and potential applications. In contrast to other machine learning techniques that seldom require communication resources, FL exploits communications between the central server and the distributed local clients to train and optimize a model. Therefore, how to efficiently assign limited communication resources to train a FL model is critical to performance optimization. In this talk, we investigate the convergence performance of FL under various communication distortions. After introducing the fundamental tradeoff between efficiency and convergence, we discuss the convergence of FL via inexact ADMM and decentralized FL.
Biography:
Geoffrey Ye Li is currently a Chair Professor at Imperial College London, UK. Before joining Imperial in 2020, he was a Professor at Georgia Institute of Technology, USA, for 20 years and a Principal Technical Staff Member with AT&T Labs – Research (previous Bell Labs) in New Jersey, USA, for five years. He made fundamental contributions to orthogonal frequency division multiplexing (OFDM) for wireless communications, established a framework on resource cooperation in wireless networks, and introduced deep learning to communications. In these areas, he has published over 600 journal and conference papers in addition to over 40 granted patents. His publications have been cited over 65,000 times with an H-index of 116. He has been listed as a Highly Cited Researcher by Clarivate/Web of Science almost every year.
Dr. Geoffrey Ye Li was elected to IEEE Fellow and IET Fellow for his contributions to signal processing for wireless communications. He won 2024 IEEE Eric E. Sumner Award and several awards from IEEE Signal Processing, Vehicular Technology, and Communications Societies, including 2019 IEEE ComSoc Edwin Howard Armstrong Achievement Award.
