Special Lecture: Stochastic Approaches Towards Distributed Algorithms
Hideaki Ishii (Department of Computer Science, Tokyo Institute of Technology)
Abstract
In recent years, studies on distributed algorithms have gained significant attention due to the continuing interests in coordinated control of multi-agent systems.
In this lecture, I will introduce several recent
results on distributed algorithms where
stochastic methods can play key roles.
The focus will be on
the so-called gossip-type interactions among agents,
where the agents communicate their information at
randomly chosen times. I will highlight how such
randomization-based techniques can enhance robustness
of algorithms operating in uncertain environments and
modeling accuracies for networked systems.
Different classes of problems will be presented, ranging
from multi-agent consensus in the presence of jamming
attacks and malicious agents, to large-scale distributed
computation of PageRank in search engines and opinion
dynamics in social networks.
Biography
Hideaki Ishii received the M.Eng. degree from Kyoto University, Japan, in 1998, and the Ph.D. degree from the University of Toronto, Canada, in 2002. He was a Postdoctoral Research Associate at the University of Illinois at Urbana-Champaign, USA, from 2001 to 2004, and a Research Associate at The University of Tokyo, Japan, from 2004 to 2007. Currently, he is a Professor in the Department of Computer Science, Tokyo Institute of Technology, Japan. His research interests are in networked control systems, multi-agent systems, hybrid systems, cyber security of power systems, and probabilistic algorithms.
Dr. Ishii has served as an Associate Editor for the IEEE Control Systems Letters and Mathematics of Control, Signals, and Systems and previously for Automatica, the IEEE Transactions on Automatic Control, and the IEEE Transactions on Control of Network Systems. He is the Chair of the IFAC Coordinating Committee on Systems and Signals since 2017. He received the IEEE Control Systems Magazine Outstanding Paper Award in 2015.
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