| 6G-enabled edge AI for metaverse: Challenges, methods, and future research directions L Chang, Z Zhang, P Li, S Xi, W Guo, Y Shen, Z Xiong, J Kang, D Niyato, ... Journal of Communications and Information Networks 7 (2), 107-121, 2022 | 193 | 2022 |
| Efficient federated learning with spike neural networks for traffic sign recognition K Xie, Z Zhang, B Li, J Kang, D Niyato, S Xie, Y Wu IEEE Transactions on Vehicular Technology 71 (9), 9980-9992, 2022 | 103 | 2022 |
| Robust semisupervised federated learning for images automatic recognition in Internet of Drones Z Zhang, S Ma, Z Yang, Z Xiong, J Kang, Y Wu, K Zhang, D Niyato IEEE Internet of Things Journal 10 (7), 5733-5746, 2022 | 43 | 2022 |
| Semi-supervised federated learning with non-iid data: Algorithm and system design Z Zhang, S Ma, J Nie, Y Wu, Q Yan, X Xu, D Niyato 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th …, 2021 | 20 | 2021 |
| Leave No One Behind: Unleashing Stragglers’ Potential for Accurate and Realtime Asynchronous Federated Learning C Chen, Z Zhang, Y Zhao 2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS), 1-10, 2024 | 1 | 2024 |
| FedModule: A Modular Federated Learning Framework C Chen, Z Zhang, Y Zhao arXiv preprint arXiv:2409.04849, 2024 | | 2024 |
| Communication Efficient Personalized Federated Learning via Hierarchical Clustering and Layer-wise Aggregation M Shuang, Z Zhang, Y Zhao 2023 19th International Conference on Mobility, Sensing and Networking (MSN …, 2023 | | 2023 |
Dusit (Tao) NiyatoNanyang Technological University (NTU)Email yang diverifikasi di ntu.edu.sg