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Kang Wei (韦康)
Kang Wei (韦康)
PolyU; NJUST
Verified email at polyu.edu.hk
Title
Cited by
Cited by
Year
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
13332020
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, 2022
1532022
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, 2022
1212022
Vertical federated learning: Challenges, methodologies and experiments
K Wei, J Li, C Ma, M Ding, S Wei, F Wu, G Chen, T Ranbaduge
arXiv preprint arXiv:2202.04309, 2022
602022
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, 2022
472022
Federated learning with unreliable clients: Performance analysis and mechanism design
C Ma, J Li, M Ding, K Wei, W Chen, HV Poor
IEEE Internet of Things Journal 8 (24), 17308-17319, 2021
232021
Improving the Model Consistency of Decentralized Federated Learning
Y Shi, L Shen, K Wei, Y Sun, B Yuan, X Wang, D Tao
The Fortieth International Conference on Machine Learning (ICML), 2023
212023
Trusted ai in multiagent systems: An overview of privacy and security for distributed learning
C Ma, J Li, K Wei*, B Liu, M Ding, L Yuan, Z Han, HV Poor
Proceedings of the IEEE 111 (9), 1097-1132, 2023
192023
Make Landscape Flatter in Differentially Private Federated Learning
Y Shi, Y Liu, K Wei, L Shen, X Wang, D Tao
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
182023
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning
X Yuan, W Ni, M Ding, K Wei*, J Li, HV Poor
IEEE Transactions on Information Forensics and Security, 2023
172023
RDP-GAN: A Rényi-Differential Privacy Based Generative Adversarial Network
C Ma, J Li, M Ding, B Liu, K Wei*, J Weng, HV Poor
IEEE Transactions on Dependable and Secure Computing, 2023
172023
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
162023
Blockchain Assisted Federated Learning over Wireless Channels: Dynamic Resource Allocation and Client Scheduling
X Deng, J Li, C Ma, K Wei, L Shi, M Ding, W Chen, HV Poor
IEEE Transactions on Wireless Communications, 2022
162022
Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks
X Deng, J Li, C Ma, K Wei, L Shi, M Ding, W Chen
IEEE Journal on Selected Areas in Communications, 2023
112023
DNN‐aided read‐voltage threshold optimization for MLC flash memory with finite block length
C Wang, K Wei, L Kong, L Shi, Z Mei, J Li, K Cai
IET Communications 16 (2), 120-130, 2022
102022
Page-based dynamic partitioning scheduling for LDPC decoding in MLC NAND flash memory
K Wei, J Li, L Kong, F Shu, FCM Lau
IEEE transactions on circuits and systems II: express briefs 66 (12), 2082-2086, 2019
82019
Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients
J Li, Y Shao, M Ding, C Ma, K Wei, Z Han, HV Poor
Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS …, 2020
72020
Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization
K Wei, J Li, M Ding, C Ma, YS Jeon, HV Poor
IEEE Transactions on Dependable and Secure Computing, 2023
52023
Differentially Private Federated Learning: Algorithm, Analysis and Optimization
K Wei, J Li, C Ma, M Ding, HV Poor
Federated Learning Systems, Springer Nature, 51-78, 2021
32021
Read-voltage optimization for finite code length in MLC NAND flash memory
K Wei, J Li, L Kong, F Shu, Y Li
2018 IEEE Information Theory Workshop (ITW), 1-5, 2018
32018
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Articles 1–20