iciicii2020

Keynote Speech

Local landscape

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Yaochu Jin, PhD, Professor

Department of Computer Science, University of Surrey, Guildford, U.K

Title: Communication-efficient federated learning

Abstract

Federated learning is a distributed machine learning framework that can preserve data privacy. One challenge in federated learning is to reduce the communication cost without significant performance degradation. This talk is going to introduce three recent ideas for communication efficient federated learning, including asynchronous model update and temporally weighted averaging, weight quantization and complexity minimization through neural architecture search. Finally, we discuss ideas of performing real-time neural architecture search in the federated learning framework.

Biography

Yaochu Jin received the B.Sc., M.Sc., and Ph.D. degrees in automatic control from Zhejiang University, Hangzhou, China, in 1988, 1991, and 1996, respectively, and the Dr.-Ing. degree from Ruhr-University Bochum, Bochum, Germany, in 2001.

He is a Distinguished Chair Professor in Computational Intelligence, Department of Computer Science, University of Surrey, Guildford, U.K. He was a Finland Distinguished Professor, University of Jyvaskyla, Finland, and a Changjiang Distinguished Visiting Professor, Northeastern University, China. His main research interests include data-driven surrogate-assisted evolutionary optimization, secure machine learning, multi-objective evolutionary learning, swarm robotics, and evolutionary developmental systems.

Dr Jin is presently the Editor-in-Chief of the IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS and the Editor-in-Chief of Complex & Intelligent Systems. He is named as a Highly Cited Researcher for 2019 and 2020 by Clarivate. He is a Fellow of IEEE.

The bird's-eye view of Shantou University
Nan’ao Island
Nan'ao Bridge
Zhongshan Pavilion
Shantou Coastal Corridor
Lotus Pond
Gentleman Sculpture Group

Shengxiang Yang, PhD, Professor

School of Computer Science and Informatics, De Montfort University, UK

Title: Swarm Intelligence for Dynamic Optimization Problems

Abstract:

Swarm intelligence (SI) in biology represents the property that the collective behavior of a swarm of agents that interact locally with their environment causes coherent functional global patterns to emerge. SI algorithms are optimization algorithms inspired from the SI phenomena in biology, such as ant foraging and bird flocking, and have been applied in different fields. Most SI algorithms have been developed to address stationary problems. However, many real-world problems are dynamic optimization problems (DOPs) that are subject to changes over time. DOPs have attracted a growing interest from the SI community in recent years due to the importance in the real-world applications of SI algorithms. This talk will first briefly introduce the concepts of SI and DOPs, review the enhancement strategies integrated into SI algorithms to address DOPs, and then describe several detailed case studies on SI methods for DOPs. Finally, some conclusions will be made and the future work on SI for DOPs will be briefly discussed.

Biography:

Shengxiang Yang (http://www.tech.dmu.ac.uk/~syang/) got his PhD degree from Northeastern University, China in 1999. He is now a Professor of Computational Intelligence (CI) and Director of the Centre for Computational Intelligence (CCI), School of Computer Science and Informatics, De Montfort University, UK. He has worked extensively for many years in the areas of CI methods, including evolutionary computation and artificial neural networks, and their applications for real-world problems. He has over 300 publications with an H-index of 55 according to Google Scholar. His work has been supported by UK research councils, EU FP7 and Horizon 2020, Chinese Ministry of Education, and industry partners. He serves as an Associate Editor or Editorial Board Member of several international journals, including IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, Information Sciences, and Enterprise Information Systems, etc. He was the founding chair of the Task Force on Intelligent Network Systems (2012-2017) and the chair of the Task Force on EC in Dynamic and Uncertain Environments (2011-2017) of the IEEE Computational Intelligence Society (CIS). He has given over 20 keynote speeches and tutorials at international conferences.