| Fedcorr: Multi-stage federated learning for label noise correction J Xu, Z Chen, TQS Quek, KFE Chong Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 91 | 2022 |
| Joint scheduling and resource allocation for hierarchical federated edge learning W Wen, Z Chen, HH Yang, W Xia, TQS Quek IEEE Transactions on Wireless Communications 21 (8), 5857-5872, 2022 | 53 | 2022 |
| Revisiting analog over-the-air machine learning: The blessing and curse of interference HH Yang, Z Chen, TQS Quek, HV Poor IEEE Journal of Selected Topics in Signal Processing 16 (3), 406-419, 2021 | 41 | 2021 |
| Dynamic scheduling for heterogeneous federated learning in private 5g edge networks K Guo, Z Chen, HH Yang, TQS Quek IEEE Journal of Selected Topics in Signal Processing 16 (1), 26-40, 2021 | 38 | 2021 |
| Dynamic attention-based communication-efficient federated learning Z Chen, KFE Chong, TQS Quek FTL-IJCAI 2021 arXiv preprint arXiv:2108.05765, 2021 | 17 | 2021 |
| Spectral Co-Distillation for Personalized Federated Learning Z Chen, HH Yang, TQS Quek, KFE Chong Thirty-seventh Conference on Neural Information Processing Systems, 2024 | 14 | 2024 |
| HPFL-CN: Communication-efficient hierarchical personalized federated edge learning via complex network feature clustering Z Li, Z Chen, X Wei, S Gao, C Ren, TQS Quek 2022 19th Annual IEEE International Conference on Sensing, Communication …, 2022 | 14 | 2022 |
| Towards federated long-tailed learning Z Chen, S Liu, H Wang, HH Yang, TQS Quek, Z Liu FL-IJCAI'22, arXiv preprint arXiv:2206.14988, 2022 | 14 | 2022 |
| Personalizing federated learning with over-the-air computations Z Chen, Z Li, HH Yang, TQS Quek ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 13 | 2023 |
| Fed-grab: Federated long-tailed learning with self-adjusting gradient balancer Z Xiao, Z Chen, S Liu, H Wang, Y Feng, J Hao, JT Zhou, J Wu, H Yang, ... Advances in Neural Information Processing Systems 36, 2024 | 10 | 2024 |
| Edge intelligence over the air: Two faces of interference in federated learning Z Chen, HH Yang, TQS Quek IEEE Communications Magazine, 2023 | 9 | 2023 |
| The Role of Federated Learning in a Wireless World with Foundation Models Z Chen, HH Yang, YC Tay, KFE Chong, TQS Quek IEEE Wireless Communications 31 (3), 42-49, 2024 | 7 | 2024 |
| FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data Z Xiao, Z Chen, L Liu, Y Feng, J Wu, W Liu, JT Zhou, HH Yang, Z Liu arXiv preprint arXiv:2401.08977, 2024 | 6 | 2024 |
| Value of Information and Timing-aware Scheduling for Federated Learning MA Khan, HH Yang, Z Chen, A Iera, N Pappas 2023 IEEE Conference on Standards for Communications and Networking (CSCN …, 2023 | 4 | 2023 |
| On the convergence rate of federated learning over unreliable networks C Feng, HH Yang, Z Chen, D Feng, Z Wang, TQS Quek 2021 Computing, Communications and IoT Applications (ComComAp), 59-64, 2021 | 4 | 2021 |
| Unleashing edgeless federated learning with analog transmissions HH Yang, Z Chen, TQS Quek IEEE Transactions on Signal Processing, 2024 | 3 | 2024 |
| Adaptive Gradient Methods For Over-the-Air Federated Learning C Wang, Z Chen, HH Yang, N Pappas 2023 IEEE 24th International Workshop on Signal Processing Advances in …, 2023 | 2 | 2023 |
| Server free wireless federated learning: Architecture, algorithm, and analysis HH Yang, Z Chen, TQS Quek arXiv preprint arXiv:2204.07609, 2022 | 2 | 2022 |
| Adaptive Federated Learning Over the Air C Wang, Z Chen, N Pappas, HH Yang, TQS Quek, HV Poor arXiv preprint arXiv:2403.06528, 2024 | 1 | 2024 |
| Federated learning with partial gradients over-the-air W Wang, Z Chen, N Pappas, HH Yang 2023 20th Annual IEEE International Conference on Sensing, Communication …, 2023 | 1 | 2023 |
Tony Q.S. QuekFull Professor and ISTD Pillar Head, SUTD在 ieee.org 的电子邮件经过验证
