博士论文答辩：联邦分析的设计与应用
日期：2025/05/12 - 2025/05/12
博士论文答辩：联邦分析的设计与应用
主讲人：Zibo Wang, Ph.D. candidate at UM-SJTU Joint Institute
时间：2025年5月12日（周一）上午10:00-12:00
地点：龙宾楼503会议室
讲座摘要
Federated analytics (FA) is an emerging topic that conducts all kinds of data analytics in the age of privacy preservation. With FA, distilled insights are transmitted to the server while raw data stay where they are born, so that data analysts can still derive valuable results while the data privacy is preserved. In this defense, the author presents key concepts of FA, including its definition, position, taxonomy, and key techniques. Then, the author presents three novel FA designs that tackle different key data analytics applications with high data utility, strong privacy preservation, and scalability.
主讲人介绍
Mr. Zibo Wang received his Bachelor’s degree in Electrical and Computer Engineering from Shanghai Jiao Tong University in 2020. Since then, he has been a Ph.D. candidate at JI supervised by Prof. Yifei Zhu, majoring in Information and Communication Engineering. His research interests include federated analytics, federated learning, and privacy computing. He has been awarded the national scholarship and the SJTU outstanding graduate student.