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Distributed Optimization and Federated Learning in Emerging Smart Networks

Title of the postdoc project
Distributed Optimization and Federated Learning in Emerging Smart Networks

Main supervisor
Mikael Johansson, Professor, Division of Decision and Control Systems, School of EECS, KTH

Co-supervisor
Sindri Magnússon
, Associate Professor, Department of Computer and Systems Science, Stockholm University

About the Digital Futures Postdoc Fellow
Xuyang Wu is a Postdoctoral researcher at KTH Digital Futures, co-supervised by Prof. Mikael Johansson at KTH (DCS, EECS) and Prof. Sindri Magnússon at SU (DSV). He received the B.S. degree in Applied Mathematics in Northwestern Polytechnical University, China, in 2015, and the PhD degree in Communication and Information System at the University of Chinese Academy of Sciences, China, in 2020. He was a finalist for the best student paper award at  IEEE ICCA 2019. His current research interests include distributed optimization and federated learning. In particular, he focuses on algorithmic foundations, convergence analysis, and resource efficiency in emerging systems such as IoT and cyber-physical systems.  More information can be found at his homepage: http://xuyangwu.github.io/

 

Contacts

Photo of Xuyang Wu

Xuyang Wu

Digital Futures Postdoctoral Fellow

xuyangw@kth.se
Photo of Mikael Johansson

Mikael Johansson

Professor, Division of Decision and Control Systems at KTH EECS, Supervisor for postdoc project at Digital Futures

+46 8 790 74 36
mjohansson@kth.se
Picture of Sindri Magnússon

Sindri Magnússon

Associate professor, Department of Computer and Systems Sciences at Stockholm University, Vice Chair Working group Cooperate at Digital Futures, Co-PI of research project Decision-making in Critical Societal Infrastructures (DEMOCRITUS) at Digital Futures, Co-PI of research project Data-Driven Control and Coordination of Smart Converters for Sustainable Power System Using Deep Reinforcement Learning at C3.ai DTI

+46 8 16 11 15
sindri.magnusson@dsv.su.se