| FFD: A Federated Learning Based Method for Credit Card Fraud Detection W Yang, Y Zhang, K Ye, L Li, CZ Xu International Congress on Bigdata (BigData), 2019 | 245 | 2019 |
| FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction L Gao, H Fu, L Li, Y Chen, M Xu, C Xu International Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 243 | 2022 |
| Joint Power Optimization of Data Center Network and Servers with Correlation Analysis K Zheng, X Wang, L Li, X Wang 33rd IEEE International Conference on Computer Communications (INFOCOM), 2014 | 165 | 2014 |
| SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System L Li, H Xiong, Z Guo, J Wang, C Xu IEEE Real-Time Systems Symposium (RTSS), 2019 | 74 | 2019 |
| Machine Learning in Real-Time Internet of Things (IOT) System: A Survey J Bian, AA Arafat, H Xiong, J Li, L Li, H Chen, J Wang, D Dou, Z Guo IEEE Internet of Things Journal, 2022 | 50 | 2022 |
| FGFL: A Blockchain-based Fair Incentive Governor for Federated Learning L Gao, L Li, Y Chen, CZ Xu, M Xu Journal of Parallel and Distributed Computing, 2022 | 45 | 2022 |
| Coordinating Liquid and Free Air Cooling with Workload Allocation for Data Center Power Minimization L Li, W Zheng, X Wang, X Wang the 11th International Conference on Autonomic Computing (ICAC), 2014 | 40 | 2014 |
| Reduced Cooling Redundancy: A New Security Vulnerability in a Hot Data Center X Gao, X Zhang, H Wang, L Li, X Wang Network and Distributed System Security Symposium (NDSS), 2018 | 38 | 2018 |
| Fifl: A fair incentive mechanism for federated learning L Gao, L Li, Y Chen, W Zheng, CZ Xu, M Xu Proceedings of the 50th International Conference on Parallel Processing, 1-10, 2021 | 33 | 2021 |
| Exploring federated learning on battery-powered devices Z Xu, L Li, W Zou Proceedings of the ACM Turing Celebration Conference-China (ACM TURC), 1-6, 2019 | 33 | 2019 |
| Data Center Power Minimization with Placement Optimization of Liquid-Cooled Servers and Free Air Cooling L Li, W Zheng, X Wang, Xiaodong, Wang Sustainable Computing (Elsevier), 2016 | 33 | 2016 |
| Federated noisy client learning KAHOU TAM, L Li, B Han, CZ Xu, H Fu IEEE Transactions on Neural Networks and Learning Systems, 2023 | 29 | 2023 |
| FedMDS: An efficient model discrepancy-aware semi-asynchronous clustered federated learning framework Y Zhang, D Liu, M Duan, L Li, X Chen, A Ren, Y Tan, C Wang IEEE Transactions on Parallel and Distributed Systems 34 (3), 1007-1019, 2023 | 27 | 2023 |
| A Framework for Behavioral Biometric Authentication using Deep Metric Learning on Mobile Devices C Wang, Y Xiao, X Gao, L Li, J Wang Transactions on Mobile Computing (TMC), 2021 | 27 | 2021 |
| PowerNetS: Coordinating Data Center Network with Servers and Cooling for Power Optimization K Zheng, W Zheng, L Li, X Wang IEEE Transactions on Network and Service Management (TNSM), 2017 | 26 | 2017 |
| HySync:Hybrid Federated Learning with Effective Synchronization G Shi, L Li, J Wang, W Chen, CZ Xu, K Ye International Conference on High Performance Computing and Communications …, 2020 | 23 | 2020 |
| FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction M Wu, L Li, T Chang, E Rigall, X Wang, CZ Xu ACM International Conference on Information and Knowledge Management (CIKM), 2022 | 22* | 2022 |
| Multi-Layer Coordination for High-Performance Energy-Efficient Federated Learning L Li, J Wang, X Chen, CZ Xu 2020 IEEE/ACM 28th International Symposium on Quality of Service (IWQoS), 2020 | 19 | 2020 |
| HARMONY: Heterogeneity-Aware Hierarchical Management for Federated Learning System C Tian, L Li, Z Shi, J Wang, CZ Xu IEEE/ACM International Symposium on Microarchitecture (MICRO), 2022 | 18 | 2022 |
| Federated learning with workload-aware client scheduling in heterogeneous systems L Li, D Liu, M Duan, Y Zhang, A Ren, X Chen, Y Tan, C Wang Neural Networks 154, 560-573, 2022 | 17 | 2022 |
Cheng-Zhong Xu, IEEE FellowUniversity of Macau, Macau SAR, ChinaVerified email at um.edu.mo
