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Li Li
Li Li
University of Macau
Verified email at um.edu.mo
Title
Cited by
Cited by
Year
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
1502014
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
772019
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
402014
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
322018
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
282019
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
272016
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
212019
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
212017
"Why "Some" Like It Hot Too: Thermal Attach on Data Centers
X Gao, Z Xu, H Wang, L Li, X Wang
the ACM International Conference on Measurement and Modeling of Computer …, 2017
122017
Placement Optimization of Liquid-Cooled Servers for Power Minimization in Data Centers
L Li, W Zheng, X Wang, X Wang
5th IEEE International Green Computing Conference (IGCC), 2014
122014
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
92022
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
82022
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
82020
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
62021
Investigating Security Vulnerabilities in a Hot Data Center with Reduced Cooling Redundancy
X Gao, G Liu, Z Xu, H Wang, L Li, X Wang
IEEE Transactions on Dependable and Secure Computing (TDSC), 2021
62021
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
62020
Close the Gap between Deep Learning and Mobile Intelligence by Incooperating Training in the Loop
C Wang, Y Xiao, X Gao, L Li, J Wang
ACM Multimedia (ACM MM), 2019
62019
SceneMan: Bridging Mobile Apps with System Energy Manager via Scenario Notification
L Li, J Wang, X Wang, Y Handong, H Ziang
ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2017
62017
FIFL: A fair incentive mechanism for federated learning
L Gao, L Li, Y Chen, W Zheng, CZ Xu, M Xu
50th International Conference on Parallel Processing, 1-10, 2021
52021
Federated Noisy Client Learning
L Li, H Fu, B Han, CZ Xu, L Shao
arXiv, arXiv:2106.13239., 2021
52021
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Articles 1–20