CV | Xiaohu Wu

2022 - Present

Associate Professor, PhD Supervisor

Beijing University of Posts and Telecommunications, Beijing, China

Federated learning
- Free-riding, competition, and collaboration formation
- Data heterogeneity, and personalized federated learning
- Foundation models, fine-tuning, prompt-tuning
Machine learning
Algorithmic game theory, mathematical optimization

2024
Outstanding Student Paper Award
- NeurIPS 2024 Workshop on Federated Foundation Models
2024
Honored Speaker in Wireless 6G Panel Speech Award
- Awarded through the 16th IEEE International Conference on Cyber-enabled Distributed Computing and Knowledge Discovery and IEEE Technical Community on Computer Communications with the theme of Revolutionizing Computing and Communication in the AI Era, October 24–25, 2024, IEEE Computer Society.

2012 - 2016
PhD in Computer Science

Telecom Paris, a school of Institut Polytechnique de Paris (IP-Paris), France
- IP-Paris is ranked 41st by QS 2026.
- Telecom Paris was founded in 1878. I studied at Eurecom, a research center established in 1991 by Telecom Paris and EPFL, Switzerland.
2015 - 2015
Visiting PhD Student

University of California at Berkeley, United States
- The visit was supported by the France-Berkeley Fund for a project titled “Multi-armed bandit games and applications”.
2009 - 2012
MSc in Computer Science

University of Science and Technology of China, Hefei, China
- Affiliated to National High Performance Computing Center at Hefei
2005 - 2009
BSc in Mathematics and Applied Mathematics

Northeast Forest University, Harbin, China
- A national key university under the Ministry of Education of China

2019 - 2022
Research Fellow

Joint NTU-WeBank Research Centre on Fintech, Nanyang Technological University, Singapore
- I worked on the project titled "Towards an Ecosystem for Federated Learning Incentive".
2017 - 2019

Expert Researcher

Bruno Kessler Foundation (FBK), Trento, Italy
2016 - 2017

Postdoctoral Researcher

Aalto University, Espoo, Finland.