| Fair concurrent training of multiple models in federated learning M Siew, H Zhang, JI Park, Y Liu, Y Ruan, L Su, S Ioannidis, E Yeh, ... arXiv preprint arXiv:2404.13841, 2024 | 8 | 2024 |
| Poster: Optimal Variance-Reduced Client Sampling for Multiple Models Federated Learning H Zhang, Z Li, Z Gong, M Siew, C Joe-Wong, R El-Azouzi 2024 IEEE 44th International Conference on Distributed Computing Systems …, 2024 | 4 | 2024 |
| Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning H Zhang, Z Gong, Z Li, M Siew, C Joe-Wong, R El-Azouzi arXiv preprint arXiv:2504.05138, 2025 | 3 | 2025 |
| Efficient 3d transformer with cluster-based domain-adversarial learning for 3d medical image segmentation H Zhang, H Chen 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 2 | 2023 |
| Optimally Leveraging Stale Updates in Federated Learning H Zhang ACM SIGMETRICS Performance Evaluation Review 53 (3), 20-22, 2026 | | 2026 |
| Group-Based Client Sampling in Multi-Model Federated Learning Z Gong, H Zhang, M Siew, C Joe-Wong, R El-Azouzi 2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring), 1-7, 2025 | | 2025 |
