| A survey of incentive mechanism design for federated learning Y Zhan, J Zhang, Z Hong, L Wu, P Li, S Guo IEEE Transactions on Emerging Topics in Computing 10 (2), 1035-1044, 2021 | 88 | 2021 |
| Parameterized knowledge transfer for personalized federated learning J Zhang, S Guo, X Ma, H Wang, W Xu, F Wu Advances in Neural Information Processing Systems 34, 10092-10104, 2021 | 48 | 2021 |
| 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 | 30 | 2021 |
| Energy-efficient coordinated multipoint scheduling in green cloud radio access network D Zeng, J Zhang, L Gu, S Guo, J Luo IEEE Transactions on Vehicular Technology 67 (10), 9922-9930, 2018 | 26 | 2018 |
| Joint optimization of virtual function migration and rule update in software defined NFV networks J Zhang, D Zeng, L Gu, H Yao, M Xiong GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-5, 2017 | 24 | 2017 |
| Take renewable energy into CRAN toward green wireless access networks D Zeng, J Zhang, S Guo, L Gu, K Wang IEEE network 31 (4), 62-68, 2017 | 24 | 2017 |
| 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 | 20 | 2021 |
| Layer-wised model aggregation for personalized federated learning X Ma, J Zhang, S Guo, W Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 17 | 2022 |
| Stochastic scheduling towards cost efficient network function virtualization in edge cloud D Zeng, J Zhang, L Gu, S Guo 2018 15th Annual IEEE International Conference on Sensing, Communication …, 2018 | 9 | 2018 |
| 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 | 5 | 2022 |
| On rule placement for multi-path routing in software-defined networks J Zhang, D Zeng, L Gu, H Yao, Y Fan Collaborative Computing: Networking, Applications, and Worksharing: 11th …, 2016 | 5 | 2016 |
| From deterioration to acceleration: A calibration approach to rehabilitating step asynchronism in federated optimization F Wu, S Guo, H Wang, H Zhang, Z Qu, J Zhang, Z Liu IEEE Transactions on Parallel and Distributed Systems, 2023 | 2 | 2023 |
| Federated Unlearning: Guarantee the Right of Clients to Forget L Wu, S Guo, J Wang, Z Hong, J Zhang, Y Ding IEEE Network 36 (5), 129-135, 2022 | 1 | 2022 |
| Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression F Wu, S He, S Guo, Z Qu, H Wang, W Zhuang, J Zhang Proceedings of the 59th ACM/IEEE Design Automation Conference, 193-198, 2022 | 1 | 2022 |
| Minimize coflow completion time via joint optimization of flow scheduling and processor placement D Zeng, J Zhang, L Gu, P Li, H Yao GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-5, 2017 | 1 | 2017 |
| Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning Y Liu, S Guo, J Zhang, Q Zhou, Y Wang, X Zhao arXiv preprint arXiv:2211.07364, 2022 | | 2022 |
| Multi-Path Routing Oriented Flow Statistics Collection in Software Defined Networks J Zhang, S Guo, D Zeng, Z Qu 2019 IEEE 25th International Conference on Parallel and Distributed Systems …, 2019 | | 2019 |
Song GuoFCAE, FIEEE, The Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
