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Leijie Wu
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A survey of incentive mechanism design for federated learning
Y Zhan, J Zhang, Z Hong, L Wu, P Li, S Guo
IEEE Transactions on Emerging Topics in Computing 10 (2), 1035-1044, 2021
2392021
Federated unlearning: Guarantee the right of clients to forget
L Wu, S Guo, J Wang, Z Hong, J Zhang, Y Ding
IEEE Network 36 (5), 129-135, 2022
322022
L4L: Experience-driven computational resource control in federated learning
Y Zhan, P Li, L Wu, S Guo
IEEE Transactions on Computers 71 (4), 971-983, 2021
232021
Sustainable federated learning with long-term online vcg auction mechanism
L Wu, S Guo, Y Liu, Z Hong, Y Zhan, W Xu
2022 IEEE 42nd International Conference on Distributed Computing Systems …, 2022
62022
A coalition formation game approach for personalized federated learning
L Wu, S Guo, Y Ding, Y Zhan, J Zhang
arXiv preprint arXiv:2202.02502, 2022
52022
QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation
A Dhasade, Y Ding, S Guo, A Kermarrec, M De Vos, L Wu
arXiv preprint arXiv:2311.15603, 2023
42023
Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application
L Wu, S Guo, Y Ding, J Wang, W Xu, RY Xu, J Zhang
arXiv preprint arXiv:2211.08543, 2022
42022
Incentive-driven long-term optimization for edge learning by hierarchical reinforcement mechanism
Y Liu, L Wu, Y Zhan, S Guo, Z Hong
2021 IEEE 41st International Conference on Distributed Computing Systems …, 2021
42021
Long-term adaptive vcg auction mechanism for sustainable federated learning with periodical client shifting
L Wu, S Guo, Z Hong, Y Liu, W Xu, Y Zhan
IEEE Transactions on Mobile Computing, 2023
32023
On knowledge editing in federated learning: Perspectives, challenges, and future directions
L Wu, S Guo, J Wang, Z Hong, J Zhang, J Zhou
arXiv preprint arXiv:2306.01431, 2023
32023
Rethinking Personalized Client Collaboration in Federated Learning
L Wu, S Guo, Y Ding, J Wang, W Xu, Y Zhan, AM Kermarrec
IEEE Transactions on Mobile Computing, 2024
12024
Chiron: A Robustness-Aware Incentive Scheme for Edge Learning Via Hierarchical Reinforcement Learning
Y Liu, S Guo, Y Zhan, L Wu, Z Hong, Q Zhou
IEEE Transactions on Mobile Computing, 2024
2024
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