| A survey on federated unlearning: Challenges, methods, and future directions Z Liu, Y Jiang, J Shen, M Peng, KY Lam, X Yuan arXiv preprint arXiv:2310.20448, 2023 | 9 | 2023 |
| Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning Y Jiang, J Shen, Z Liu, CW Tan, KY Lam arXiv preprint arXiv:2401.08216, 2024 | 4 | 2024 |
| Privacy-Preserving Federated Unlearning with Certified Client Removal Z Liu, H Ye, Y Jiang, J Shen, J Guo, I Tjuawinata, KY Lam arXiv preprint arXiv:2404.09724, 2024 | | 2024 |
| Effective Intrusion Detection in Heterogeneous Internet-of-Things Networks via Ensemble Knowledge Distillation-based Federated Learning J Shen, W Yang, Z Chu, J Fan, D Niyato, KY Lam arXiv preprint arXiv:2401.11968, 2024 | | 2024 |
| AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories J Shen, W Yang, KY Lam arXiv e-prints, arXiv: 2310.10541, 2023 | | 2023 |
| An efficient training strategy for multi-agent reinforcement learning in card games J Shen 2nd International Conference on Artificial Intelligence, Automation, and …, 2022 | | 2022 |
Kwok-Yan LamNanyang Technological UniversityBestätigte E-Mail-Adresse bei ntu.edu.sg
