Articles with public access mandates - Chuan MaLearn more
Not available anywhere: 7
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, 2023
Mandates: US National Science Foundation, National Natural Science Foundation of China
LAFED: A lightweight authentication mechanism for blockchain-enabled federated learning system
S Ji, J Zhang, Y Zhang, Z Han, C Ma
Future Generation Computer Systems 145, 56-67, 2023
Mandates: 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
Mandates: National Natural Science Foundation of China
Privacy preserving federated learning using ckks homomorphic encryption
F Qiu, H Yang, L Zhou, C Ma, LM Fang
International Conference on Wireless Algorithms, Systems, and Applications …, 2022
Mandates: National Natural Science Foundation of China
Proofs of retrievability with tag outsourcing based on Goppa codes
S Ji, W Zhou, C Ma, D Li, K Zhu, L Fang
Computer Standards & Interfaces 86, 103719, 2023
Mandates: National Natural Science Foundation of China
Regularized Simple Multiple Kernel -Means With Kernel Average Alignment
M Li, Y Zhang, C Ma, S Liu, Z Liu, J Yin, X Liu, Q Liao
IEEE Transactions on Neural Networks and Learning Systems, 2023
Mandates: National Natural Science Foundation of China
Interpretability-Based Cross-Silo Federated Learning
W Zhou, Z Han, C Ma, Z Liu, P Li
CAAI International Conference on Artificial Intelligence, 545-556, 2023
Mandates: National Natural Science Foundation of China
Available somewhere: 32
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
Mandates: 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
Mandates: US National Science Foundation, National Natural Science Foundation of China
User-level privacy-preserving federated learning: Analysis and performance optimization
K Wei, J Li, M Ding, C Ma, H Su, B Zhang, HV Poor
IEEE Transactions on Mobile Computing 21 (9), 3388-3401, 2021
Mandates: US National Science Foundation, National Natural Science Foundation of China
Blockchain assisted decentralized federated learning (BLADE-FL): Performance analysis and resource allocation
J Li, Y Shao, K Wei, M Ding, C Ma, L Shi, Z Han, HV Poor
IEEE Transactions on Parallel and Distributed Systems 33 (10), 2401-2415, 2021
Mandates: US National Science Foundation, National Natural Science Foundation of China
Interference exploitation in D2D-enabled cellular networks: A secrecy perspective
C Ma, J Liu, X Tian, H Yu, Y Cui, X Wang
IEEE Transactions on Communications 63 (1), 229-242, 2014
Mandates: National Natural Science Foundation of China
When federated learning meets blockchain: A new distributed learning paradigm
C Ma, J Li, L Shi, M Ding, T Wang, Z Han, HV Poor
IEEE Computational Intelligence Magazine 17 (3), 26-33, 2022
Mandates: US National Science Foundation, National Natural Science Foundation of China
Low-latency federated learning over wireless channels with differential privacy
K Wei, J Li, C Ma, M Ding, C Chen, S Jin, Z Han, HV Poor
IEEE Journal on Selected Areas in Communications 40 (1), 290-307, 2021
Mandates: US National Science Foundation, National Natural Science Foundation of China
Performance analysis for practical unmanned aerial vehicle networks with LoS/NLoS transmissions
C Liu, M Ding, C Ma, Q Li, Z Lin, YC Liang
2018 ieee international conference on communications workshops (icc …, 2018
Mandates: National Natural Science Foundation of China
On the performance of successive interference cancellation in D2D-enabled cellular networks
C Ma, W Wu, Y Cui, X Wang
2015 IEEE Conference on Computer Communications (INFOCOM), 37-45, 2015
Mandates: National Natural Science Foundation of China
Socially aware caching strategy in device-to-device communication networks
C Ma, M Ding, H Chen, Z Lin, G Mao, YC Liang, B Vucetic
IEEE Transactions on Vehicular Technology 67 (5), 4615-4629, 2018
Mandates: National Natural Science Foundation of China
Localized small cell caching: A machine learning approach based on rating data
P Cheng, C Ma, M Ding, Y Hu, Z Lin, Y Li, B Vucetic
IEEE Transactions on Communications 67 (2), 1663-1676, 2018
Mandates: National Natural Science Foundation of China
Dynamic virtual resource allocation for 5G and beyond network slicing
F Song, J Li, C Ma, Y Zhang, L Shi, DNK Jayakody
IEEE Open Journal of Vehicular Technology 1, 215-226, 2020
Mandates: National Natural Science Foundation of China
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning
C Ma, K Wei, J Li, B Liu, M Ding, L Yuan, Z Han, HV Poor
arXiv preprint arXiv:2202.09027, 2022
Mandates: US National Science Foundation, US Department of Transportation, National …
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