学   术  报 告

报告题目：Evolutionary Federated Neural Architecture Search

报 告 人：Prof.  Yaochu Jin

时    间：6月2日下午 4:00

报告形式：腾讯会议

会议ID ：675-474-808

主办单位：必威

Abstract:

Neural architecture search is a useful step towards automated machine learning in that it is able design deep neural networks through a learning or optimization process. However, not much work has been done on search of optimal neural architectures when the training data are distributed on multiple sites and subject to privacy protection. This talk introduces two recent algorithms that perform neural architecture search in a federated environment using multi-objective evolutionary algorithms. We focus on the efficient representation of deep neural architectures, handling multiple objectives in learning, and reducing computational complexity of the neural architecture search process.

Biography：

Yaochu Jin is an Alexander von Humboldt Professor for Artificial Intelligence endowed by the German Federal Ministry of Education and Research, with the Faculty of Technology, Bielefeld University, Germany. He is also a Surrey Distinguished Chair, Professor in Computational Intelligence, Department of Computer Science, University of Surrey, Guildford, U.K. He was a “Finland Distinguished Professor” of University of Jyväskylä, Finland, “Changjiang Distinguished Visiting Professor”, Northeastern University, China, and “Distinguished Visiting Scholar”, University of Technology Sydney, Australia. His main research interests include evolutionary optimization and learning, trustworthy machine learning and optimization, and evolutionary developmental AI.

Prof Jin is presently the Editor-in-Chief of Complex & Intelligent Systems. He was the Editor-in-Chief of the IEEE Transactions on Cognitive and Developmental Systems, an IEEE Distinguished Lecturer in 2013-2015 and 2017-2019, the Vice President for Technical Activities of the IEEE Computational Intelligence Society (2015-2016). He is the recipient of the 2018 and 2021 IEEE Transactions on Evolutionary Computation Outstanding Paper Award, and the 2015, 2017, and 2020 IEEE Computational Intelligence Magazine Outstanding Paper Award. He was named by the Web of Science as “a Highly Cited Researcher” consecutively from 2019 to 2021. He is a Member of Academia European and Fellow of IEEE.

必威

2022年6月2日