Leijie Wu

Researcher, Theory Lab, Huawei Technologies Ltd.

Joined

February 2022

Names

Leijie Wu (Preferred)

Leijie WU

Emails

****@connect.polyu.hk (Confirmed)

****@huawei.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Theory Lab, Huawei Technologies Ltd. (huawei.com)

2024 – 2027

PhD student

Computing, The Hong Kong Polytechnic University, Hong Kong Polytechnic University (comp.polyu.edu.hk)

2020 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Song Guo

2020 – 2024

Expertise

No areas of expertise listed

Publications

Rethinking Personalized Client Collaboration in Federated Learning
Leijie Wu, Song Guo, Yaohong Ding, Junxiao Wang, Wenchao Xu, Yufeng Zhan, Anne-Marie Kermarrec
- IEEE Trans. Mob. Comput. 2024
- Readers: Everyone
Chiron: A Robustness-Aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning
Yi Liu, Song Guo, Yufeng Zhan, Leijie Wu, Zicong Hong, Qihua Zhou
- IEEE Trans. Mob. Comput. 2024
- Readers: Everyone
Long-Term Adaptive VCG Auction Mechanism for Sustainable Federated Learning With Periodical Client Shifting
Leijie Wu, Song Guo, Zicong Hong, Yi Liu, Wenchao Xu, Yufeng Zhan
- IEEE Trans. Mob. Comput. 2024
- Readers: Everyone
QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation
Akash Dhasade, Yaohong Ding, Song Guo, Anne-Marie Kermarrec, Martijn de Vos, Leijie Wu
- Middleware 2024
- Readers: Everyone
QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation
Akash Dhasade, Yaohong Ding, Song Guo, Anne-marie Kermarrec, Martijn De Vos, Leijie WU
- Submitted to ICLR 2024
- Readers: Everyone
QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation
Akash Dhasade, Yaohong Ding, Song Guo, Anne-Marie Kermarrec, Martijn de Vos, Leijie Wu
- CoRR 2023
- Readers: Everyone
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions
Leijie Wu, Song Guo, Junxiao Wang, Zicong Hong, Jie Zhang, Jingren Zhou
- CoRR 2023
- Readers: Everyone
L4L: Experience-Driven Computational Resource Control in Federated Learning
Yufeng Zhan, Peng Li, Leijie Wu, Song Guo
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- IEEE Trans. Computers 2022
- Readers: Everyone
Federated Unlearning: Guarantee the Right of Clients to Forget
Leijie Wu, Song Guo, Junxiao Wang, Zicong Hong, Jie Zhang, Yaohong Ding
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- IEEE Netw. 2022
- Readers: Everyone
A Coalition Formation Game Approach for Personalized Federated Learning
Leijie Wu, Song Guo, Yaohong Ding, Yufeng Zhan, Jie Zhang
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone

View all 14 publications