Leijie Wu

Orcid: 0000-0002-9235-736X

According to our database1, Leijie Wu authored at least 13 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Rethinking Personalized Client Collaboration in Federated Learning.
IEEE Trans. Mob. Comput., December, 2024

Chiron: A Robustness-Aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning.
IEEE Trans. Mob. Comput., August, 2024

Long-Term Adaptive VCG Auction Mechanism for Sustainable Federated Learning With Periodical Client Shifting.
IEEE Trans. Mob. Comput., May, 2024

QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation.
Proceedings of the 25th International Middleware Conference, 2024

2023
QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation.
CoRR, 2023

On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions.
CoRR, 2023

2022
A Survey of Incentive Mechanism Design for Federated Learning.
IEEE Trans. Emerg. Top. Comput., 2022

L4L: Experience-Driven Computational Resource Control in Federated Learning.
IEEE Trans. Computers, 2022

Federated Unlearning: Guarantee the Right of Clients to Forget.
IEEE Netw., 2022

Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application.
CoRR, 2022

A Coalition Formation Game Approach for Personalized Federated Learning.
CoRR, 2022

Sustainable Federated Learning with Long-term Online VCG Auction Mechanism.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

2021
Incentive-Driven Long-term Optimization for Edge Learning by Hierarchical Reinforcement Mechanism.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021


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