| A survey of virtual machine management in edge computing Z Tao, Q Xia, Z Hao, C Li, L Ma, S Yi, Q Li Proceedings of the IEEE 107 (8), 1482-1499, 2019 | 95 | 2019 |
| A survey of federated learning for edge computing: Research problems and solutions Q Xia, W Ye, Z Tao, J Wu, Q Li High-Confidence Computing 1 (1), 100008, 2021 | 93 | 2021 |
| FABA: an algorithm for fast aggregation against byzantine attacks in distributed neural networks Q Xia, Z Tao, Z Hao, Q Li IJCAI, 2019 | 30 | 2019 |
| Quantumfed: A federated learning framework for collaborative quantum training Q Xia, Q Li 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 10 | 2021 |
| Defenses against byzantine attacks in distributed deep neural networks Q Xia, Z Tao, Q Li IEEE Transactions on Network Science and Engineering 8 (3), 2025-2035, 2020 | 9 | 2020 |
| Defending Against Byzantine Attacks in Quantum Federated Learning Q Xia, Z Tao, Q Li 2021 17th International Conference on Mobility, Sensing and Networking (MSN …, 2021 | 4 | 2021 |
| Privacy issues in edge computing Q Xia, Z Tao, Q Li Fog/Edge Computing For Security, Privacy, and Applications, 147-169, 2021 | 4 | 2021 |
| LAWS: Look Around and Warm-Start Natural Gradient Descent for Quantum Neural Networks Z Tao, J Wu, Q Xia, Q Li arXiv preprint arXiv:2205.02666, 2022 | 2 | 2022 |
| Neuron Manifold Distillation for Edge Deep Learning Z Tao, Q Xia, Q Li 2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS), 1-10, 2021 | 2 | 2021 |
| An Efficient and Robust Cloud-based Deep Learning with Knowledge Distillation Z Tao, Q Xia, S Chen, Q Li IEEE Transactions on Cloud Computing, 2022 | 1 | 2022 |
| Efficient Privacy-Preserving Federated Learning for Resource-Constrained Edge Devices J Wu, Q Xia, Q Li 2021 17th International Conference on Mobility, Sensing and Networking (MSN …, 2021 | 1 | 2021 |
| CE-SGD: Communication-Efficient Distributed Machine Learning Z Tao, Q Xia, Q Li, S Cheng 2021 IEEE Global Communications Conference (GLOBECOM), 1-7, 2021 | 1 | 2021 |
| Byzantine Tolerant Algorithms for Federated Learning Q Xia, Z Tao, Q Li, S Chen IEEE Transactions on Network Science and Engineering, 2023 | | 2023 |
| Distributed Byzantine Tolerant Machine Learning Q Xia The College of William and Mary, 2021 | | 2021 |
| ToFi: An Algorithm to Defend Against Byzantine Attacks in Federated Learning Q Xia, Z Tao, Q Li Security and Privacy in Communication Networks: 17th EAI International …, 2021 | | 2021 |
