时间：2024年9月19日 上午 8:30-10:00
地点：复旦大学江湾校区交叉二号楼B6007
报告人: Professor Wei Ni, School of Computer Science and Engineering, University of New South Wales
摘 要
Federated learning (FL) has been increasingly considered in smart healthcare, smart city, smart factory, and intelligent transportation systems, and increasingly applied in wireless settings. Despite being designed to preserve privacy of learning agents, FL is susceptible to many AIbased privacy attacks, e.g., inference attack, inversion attack, etc. In this talk, we discuss the need for privacy preservation in FL systems, and general approaches to balance the competing goals of privacy, utility, and fairness in FL systems, including the latest personalized FL systems. We will also briefly touch upon new considerations of leveraging the inherent noisy nature of wireless channels to protect the privacy of learning agents in WFL systems.
报告人简介
Wei Ni received his B.E. and Ph.D. degrees in electronics engineering from Fudan University, Shanghai, China, in 2000 and 2005, respectively. He is a Principal Research Scientist with CSIRO and a Conjoint Professor with the University of New South Wales. He is also an Adjunct Professor with the University of Technology Sydney and an Honorary Professor with Macquarie University. He was a PostDoctoral Fellow with Shanghai Jiao Tong University from 2005 to 2008, Deputy Project Manager with AlcatelLucent Bell Labs from 2005 to 2008, and a Senior Researcher with Nokia from 2008 to 2009. He has (co)authored three books, ten book chapters, more than 300 journal articles, more than 100 conference papers, 26 patents, and ten standard proposals accepted by IEEE. His research interests include machine learning, online learning, stochastic optimization, and their applications to the security, integrity, and efficiency of network systems. He is a Fellow of IEEE.
Wei has been an Editor for IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY since 2022, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS since 2018, IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY since 2024, IEEE COMMUNICATIONS SURVEYS AND TUTORIALS since 2024, and Cambridge Press New Research Directions: CyberPhysical Systems since 2022. He served as the Chair for the IEEE Vehicular Technology Society New South Wales Chapter from 2020 to 2022, Secretary and then ViceChair for the Chapter from 2015 to 2019, Track Chair for VTC Spring 2017, Track CoChair for IEEE VTCSpring 2016, Publication Chair for BodyNet 2015, and Student Travel Grant Chair for WPMC 2014.
