| Asynchronous federated learning over wireless communication networks Z Wang, Z Zhang, Y Tian, Q Yang, H Shan, W Wang, TQS Quek IEEE Transactions on Wireless Communications 21 (9), 6961-6978, 2022 | 61 | 2022 |
| Over-the-air split machine learning in wireless MIMO networks Y Yang, Z Zhang, Y Tian, Z Yang, C Huang, C Zhong, KK Wong IEEE Journal on Selected Areas in Communications 41 (4), 1007-1022, 2023 | 13 | 2023 |
| JMSNAS: Joint model split and neural architecture search for learning over mobile edge networks Y Tian, Z Zhang, Z Yang, Q Yang 2022 IEEE International Conference on Communications Workshops (ICC …, 2022 | 11 | 2022 |
| Implementing graph neural networks over wireless networks via over-the-air computing: A joint communication and computation framework Y Yang, Z Zhang, Y Tian, R Jin, C Huang IEEE Wireless Communications 30 (3), 62-69, 2023 | 3 | 2023 |
| Hierarchical federated learning with adaptive clustering on non-IID data Y Tian, Z Zhang, Z Yang, R Jin GLOBECOM 2022-2022 IEEE Global Communications Conference, 627-632, 2022 | 3 | 2022 |
| An Edge-Cloud Collaboration Framework for Generative AI Service Provision with Synergetic Big Cloud Model and Small Edge Models Y Tian, Z Zhang, Y Yang, Z Chen, Z Yang, R Jin, TQS Quek, KK Wong arXiv preprint arXiv:2401.01666, 2024 | | 2024 |
| Federated Learning with Unsourced Random Access Y Tian, J Che, Z Zhang, Z Yang 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1-5, 2023 | | 2023 |
