| A learning-based incentive mechanism for federated learning Y Zhan, P Li, Z Qu, D Zeng, S Guo IEEE Internet of Things Journal 7 (7), 6360-6368, 2020 | 699 | 2020 |
| Adaptive federated learning on non-iid data with resource constraint J Zhang, S Guo, Z Qu, D Zeng, Y Zhan, Q Liu, R Akerkar IEEE Transactions on Computers 71 (7), 1655-1667, 2021 | 146 | 2021 |
| Edge learning: The enabling technology for distributed big data analytics in the edge J Zhang, Z Qu, C Chen, H Wang, Y Zhan, B Ye, S Guo ACM Computing Surveys (CSUR) 54 (7), 1-36, 2021 | 71 | 2021 |
| On-device learning systems for edge intelligence: A software and hardware synergy perspective Q Zhou, Z Qu, S Guo, B Luo, J Guo, Z Xu, R Akerkar IEEE Internet of Things Journal 8 (15), 11916-11934, 2021 | 68 | 2021 |
| Partial synchronization to accelerate federated learning over relay-assisted edge networks Z Qu, S Guo, H Wang, B Ye, Y Wang, AY Zomaya, B Tang IEEE Transactions on Mobile Computing 21 (12), 4502-4516, 2021 | 63 | 2021 |
| Octo:{INT8} training with loss-aware compensation and backward quantization for tiny on-device learning Q Zhou, S Guo, Z Qu, J Guo, Z Xu, J Zhang, T Guo, B Luo, J Zhou 2021 USENIX Annual Technical Conference (USENIX ATC 21), 177-191, 2021 | 62 | 2021 |
| Adaptive vertical federated learning on unbalanced features J Zhang, S Guo, Z Qu, D Zeng, H Wang, Q Liu, AY Zomaya IEEE Transactions on Parallel and Distributed Systems 33 (12), 4006-4018, 2022 | 61 | 2022 |
| Incentive mechanism design for federated learning: Challenges and opportunities Y Zhan, P Li, S Guo, Z Qu IEEE network 35 (4), 310-317, 2021 | 60 | 2021 |
| A comprehensive survey on training acceleration for large machine learning models in IoT H Wang, Z Qu, Q Zhou, H Zhang, B Luo, W Xu, S Guo, R Li IEEE Internet of Things Journal 9 (2), 939-963, 2021 | 59 | 2021 |
| Cooperative caching for multiple bitrate videos in small cell edges Z Qu, B Ye, B Tang, S Guo, S Lu, W Zhuang IEEE Transactions on Mobile Computing 19 (2), 288-299, 2019 | 50 | 2019 |
| Petrel: Heterogeneity-aware distributed deep learning via hybrid synchronization Q Zhou, S Guo, Z Qu, P Li, L Li, M Guo, K Wang IEEE Transactions on Parallel and Distributed Systems 32 (5), 1030-1043, 2020 | 40 | 2020 |
| Anchor sampling for federated learning with partial client participation F Wu, S Guo, Z Qu, S He, Z Liu, J Gao International Conference on Machine Learning, 37379-37416, 2023 | 35 | 2023 |
| Error-compensated sparsification for communication-efficient decentralized training in edge environment H Wang, S Guo, Z Qu, R Li, Z Liu IEEE Transactions on Parallel and Distributed Systems 33 (1), 14-25, 2021 | 35 | 2021 |
| Fecal microbiota transplantation for diseases: Therapeutic potential, methodology, risk management in clinical practice Z Qu, P Tian, B Yang, J Zhao, G Wang, W Chen Life Sciences 304, 120719, 2022 | 33 | 2022 |
| A comprehensive survey on communication-efficient federated learning in mobile edge environments N Jia, Z Qu, B Ye, Y Wang, S Hu, S Guo IEEE Communications Surveys & Tutorials, 2025 | 31 | 2025 |
| Physical-layer arithmetic for federated learning in uplink MU-MIMO enabled wireless networks T Huang, B Ye, Z Qu, B Tang, L Xie, S Lu IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 1221-1230, 2020 | 30 | 2020 |
| LOSP: Overlap synchronization parallel with local compensation for fast distributed training H Wang, Z Qu, S Guo, N Wang, R Li, W Zhuang IEEE Journal on Selected Areas in Communications 39 (8), 2541-2557, 2021 | 27 | 2021 |
| Intermittent pulling with local compensation for communication-efficient distributed learning H Wang, Z Qu, S Guo, X Gao, R Li, B Ye IEEE Transactions on Emerging Topics in Computing 10 (2), 779-791, 2020 | 26 | 2020 |
| Joint service request scheduling and container retention in serverless edge computing for vehicle-infrastructure collaboration S Hu, Z Qu, B Tang, B Ye, G Li, W Shi IEEE Transactions on Mobile Computing 23 (6), 6508-6521, 2023 | 21 | 2023 |
| RuleDRL: Reliability-aware SFC provisioning with bounded approximations in dynamic environments Y Zeng, Z Qu, S Guo, B Tang, B Ye, J Li, J Zhang IEEE Transactions on Services Computing 16 (5), 3651-3664, 2023 | 21 | 2023 |
