| 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 | 288 | 2021 |
| 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 | 43 | 2022 |
| 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 | 28 | 2021 |
| 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 | 8 | 2022 |
| 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 | 7 | 2023 |
| 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 | 7 | 2021 |
| 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 | 5 | 2023 |
| 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 | 5 | 2022 |
| 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 | 4 | 2023 |
| 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 | 4 | 2022 |
| 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 | 2 | 2024 |
| QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation A Dhasade, Y Ding, S Guo, AM Kermarrec, M de Vos, L Wu Proceedings of the 25th International Middleware Conference, 266-278, 2024 | | 2024 |
| 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 |
Song GuoFCAE, FIEEE, Hong Kong University of Science and Technology在 cse.ust.hk 的电子邮件经过验证
