Artikel dengan mandat akses publik - Ming DingPelajari lebih lanjut
Tidak tersedia di mana pun: 13
Personalized federated learning with differential privacy and convergence guarantee
K Wei, J Li, C Ma, M Ding, W Chen, J Wu, M Tao, HV Poor
IEEE Transactions on Information Forensics and Security 18, 4488-4503, 2023
Mandat: US National Science Foundation, National Natural Science Foundation of China
Dynamic reuse of unlicensed spectrum: An inter-working of LTE and WiFi
Y Chen, M Ding, D Lopez-Perez, J Li, Z Lin, B Vucetic
IEEE Wireless Communications 24 (5), 52-59, 2017
Mandat: National Natural Science Foundation of China
Data level privacy preserving: A stochastic perturbation approach based on differential privacy
C Ma, L Yuan, L Han, M Ding, R Bhaskar, J Li
IEEE Transactions on Knowledge and Data Engineering 35 (4), 3619-3631, 2021
Mandat: National Natural Science Foundation of China
Deep reinforcement learning for online resource allocation in network slicing
Y Cai, P Cheng, Z Chen, M Ding, B Vucetic, Y Li
IEEE Transactions on Mobile Computing 23 (6), 7099-7116, 2023
Mandat: Australian Research Council
PPFed: A privacy-preserving and personalized federated learning framework
G Zhang, B Liu, T Zhu, M Ding, W Zhou
IEEE Internet of Things Journal 11 (11), 19380-19393, 2024
Mandat: Australian Research Council
Protecting privacy-sensitive locations in trajectories with correlated positions
B Liu, T Zhu, W Zhou, K Wang, H Zhou, M Ding
2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019
Mandat: National Natural Science Foundation of China
Performance analysis of massive MIMO two-way relay systems with SWIPT
J Wang, L Zheng, M Ding, G Wang, Z Lin
2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), 1-6, 2019
Mandat: National Natural Science Foundation of China
Clustering-based contrastive learning for fault diagnosis with few labeled samples
Y Dai, Z Mei, J Li, Z Li, K Wei, M Ding, S Guo, W Chen
IEEE Transactions on Instrumentation and Measurement 73, 1-13, 2023
Mandat: National Natural Science Foundation of China
Design of anti-plagiarism mechanisms in decentralized federated learning
Y Shao, J Li, M Ding, K Wei, C Ma, L Shi, W Chen, S Jin
IEEE Transactions on Services Computing, 2024
Mandat: National Natural Science Foundation of China
SWIPT in MIMO AF relay systems with direct link
J Wang, G Wang, Z Lin, L Zheng, M Ding
2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), 1-6, 2019
Mandat: National Natural Science Foundation of China
Secure Device Pairing Protocol Based on Wireless Channel Characteristics for Body Area Networks
C Javali, G Revadigar, L Libman, M Ding, Z Lin, S Jha
Physical Layer Security, 151-179, 2021
Mandat: Australian Research Council
The effect of los and nlos transmissions on base station clustering in dense small-cell networks
J Wang, X Chu, M Ding, D Lopez-Perez
2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 1-6, 2019
Mandat: European Commission
FSVM: Federated Support Vector Machines for Smart City
L Ma, L Tang, L Gao, Q Pei, M Ding
International Conference on Testbeds and Research Infrastructures, 149-167, 2022
Mandat: National Natural Science Foundation of China
Tersedia di suatu tempat: 95
Federated learning with differential privacy: Algorithms and performance analysis
K Wei, J Li, M Ding, C Ma, HH Yang, F Farokhi, S Jin, TQS Quek, HV Poor
IEEE transactions on information forensics and security 15, 3454-3469, 2020
Mandat: US National Science Foundation, National Natural Science Foundation of China
Federated learning for internet of things: A comprehensive survey
DC Nguyen, M Ding, PN Pathirana, A Seneviratne, J Li, HV Poor
IEEE Communications Surveys & Tutorials 23 (3), 1622-1658, 2021
Mandat: US National Science Foundation, National Natural Science Foundation of China
6G Internet of Things: A comprehensive survey
DC Nguyen, M Ding, PN Pathirana, A Seneviratne, J Li, D Niyato, ...
IEEE Internet of Things Journal 9 (1), 359-383, 2021
Mandat: US National Science Foundation, National Natural Science Foundation of China
Federated learning for smart healthcare: A survey
DC Nguyen, QV Pham, PN Pathirana, M Ding, A Seneviratne, Z Lin, ...
ACM Computing Surveys (Csur) 55 (3), 1-37, 2022
Mandat: Natural Sciences and Engineering Research Council of Canada
When machine learning meets privacy: A survey and outlook
B Liu, M Ding, S Shaham, W Rahayu, F Farokhi, Z Lin
ACM Computing Surveys (CSUR) 54 (2), 1-36, 2021
Mandat: Australian Research Council
Federated learning meets blockchain in edge computing: Opportunities and challenges
DC Nguyen, M Ding, QV Pham, PN Pathirana, LB Le, A Seneviratne, J Li, ...
IEEE Internet of Things Journal 8 (16), 12806-12825, 2021
Mandat: US National Science Foundation, National Natural Science Foundation of China
On safeguarding privacy and security in the framework of federated learning
C Ma, J Li, M Ding, HH Yang, F Shu, TQS Quek, HV Poor
IEEE network 34 (4), 242-248, 2020
Mandat: US National Science Foundation, National Natural Science Foundation of China
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