2021年12月30日（星期四）上午9点，加拿大阿尔伯塔大学Witold Pedrycz教授应邀在数学科学学院A201会议室作了题为“Federated Learning and Knowledge Distillation in Rule-Based Models: An Environment of Granular Computing” 的学术报告。此次报告由数学科学学院孙伟副教授主持，复杂系统智能分析与控制团队的老师和研究生、以及其他高校的老师和学生参加了本次报告会。
在此次报告中，Witold Pedrycz教授指出与现实世界数据相关的挑战为系统建模的实现带来了新的、有影响力的方向，例如联邦学习和知识蒸馏。以此为切入点，Witold Pedrycz教授详细介绍了基于规则的体系结构和粒计算方面的内容。考虑到粒计算的基本框架有利于增强现有的学习范式，将信息颗粒概念化为模糊集、集合、粗糙集等可能会产生有效的解决方案，Witold Pedrycz教授阐述了如何构建基于规则的体系结构并面向信息颗粒的设计，从而建立一个健全的概念建模框架。随后，Witold Pedrycz教授介绍了通过无监督联邦学习形成此类规则的方法和算法的发展，以及模型的粒度增强在面向逻辑的知识蒸馏设置中的作用。
报告结束后，在场老师与Witold Pedrycz教授进行了深入交流和探讨，并对Witold Pedrycz教授表达了感谢。此次学术报告使我院师生对人工智能有了更深刻的了解，极大地拓宽了学术视野，领略了国际知名学术专家的风采。
Witold Pedrycz (IEEE Life Fellow) is Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. Dr. Pedrycz is a foreign member of the Polish Academy of Sciences and a Fellow of the Royal Society of Canada. He is a recipient of several awards including Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society, IEEE Canada Computer Engineering Medal, a Cajastur Prize for Soft Computing from the European Centre for Soft Computing, a Killam Prize, a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society, and 2019 Meritorious Service Award from the IEEE Systems Man and Cybernetics Society.
His main research directions involve Computational Intelligence, Granular Computing, knowledge discovery, data science, and knowledge-based neural networks among others.
Dr. Pedrycz is involved in editorial activities. He is an Editor-in-Chief of Information Sciences , Editor-in-Chief of WIREs Data Mining and Knowledge Discovery (Wiley), and Co-editor-in-Chief of Int. J. of Granular Computing (Springer) and J. of Data Information and Management (Springer).
（审核 孙伟）
