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Journal Articles
- 2024
- [j21]Yajiao Dai, Zhen Mei, Jun Li, Zengxiang Li, Kang Wei, Ming Ding, Sheng Guo, Wen Chen:
Clustering-Based Contrastive Learning for Fault Diagnosis With Few Labeled Samples. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j20]Tianyu Yuan, Xiangjun Dai, Kang Wei, Fujun Yang:
Dynamic Localization and Transient Profile Reconstruction of Internal Defect Based on a Dual-Channel Speckle Interferometer. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - 2023
- [j19]Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen:
Low-Latency Federated Learning With DNN Partition in Distributed Industrial IoT Networks. IEEE J. Sel. Areas Commun. 41(3): 755-775 (2023) - [j18]Chuan Ma, Jun Li, Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor:
Trusted AI in Multiagent Systems: An Overview of Privacy and Security for Distributed Learning. Proc. IEEE 111(9): 1097-1132 (2023) - [j17]Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor:
RDP-GAN: A Rényi-Differential Privacy Based Generative Adversarial Network. IEEE Trans. Dependable Secur. Comput. 20(6): 4838-4852 (2023) - [j16]Xin Yuan, Wei Ni, Ming Ding, Kang Wei, Jun Li, H. Vincent Poor:
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning. IEEE Trans. Inf. Forensics Secur. 18: 1884-1897 (2023) - [j15]Kang Wei, Jun Li, Chuan Ma, Ming Ding, Wen Chen, Jun Wu, Meixia Tao, H. Vincent Poor:
Personalized Federated Learning With Differential Privacy and Convergence Guarantee. IEEE Trans. Inf. Forensics Secur. 18: 4488-4503 (2023) - [j14]Jixuan Cui, Jun Li, Zhen Mei, Kang Wei, Sha Wei, Ming Ding, Wen Chen, Song Guo:
Federated Meta-Learning for Few-Shot Fault Diagnosis With Representation Encoding. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j13]Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor:
Blockchain Assisted Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Client Scheduling. IEEE Trans. Wirel. Commun. 22(5): 3537-3553 (2023) - 2022
- [j12]Xi Chen, Xiao Shao, Xin Pan, Gaochao Luo, Maoqiang Bi, Tianyan Jiang, Kang Wei:
Feature extraction of partial discharge in low-temperature composite insulation based on VMD-MSE-IF. CAAI Trans. Intell. Technol. 7(2): 301-312 (2022) - [j11]Cheng Wang, Kang Wei, Lingjun Kong, Long Shi, Zhen Mei, Jun Li, Kui Cai:
DNN-aided read-voltage threshold optimization for MLC flash memory with finite block length. IET Commun. 16(2): 120-130 (2022) - [j10]Kang Wei, Jun Li, Chuan Ma, Ming Ding, Cailian Chen, Shi Jin, Zhu Han, H. Vincent Poor:
Low-Latency Federated Learning Over Wireless Channels With Differential Privacy. IEEE J. Sel. Areas Commun. 40(1): 290-307 (2022) - [j9]Wei Sun, Kang Wei, Zhi Liu, Qiyue Li, Xiaobing Xu:
Linear Quadratic Gaussian Control for Wireless Communication Reliability for a Mobile Monitoring Robot in a UHV Power Substation. IEEE Syst. J. 16(3): 4149-4159 (2022) - [j8]Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor:
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization. IEEE Trans. Mob. Comput. 21(9): 3388-3401 (2022) - [j7]Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor:
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation. IEEE Trans. Parallel Distributed Syst. 33(10): 2401-2415 (2022) - 2021
- [j6]Chuan Ma, Jun Li, Ming Ding, Kang Wei, Wen Chen, H. Vincent Poor:
Federated Learning With Unreliable Clients: Performance Analysis and Mechanism Design. IEEE Internet Things J. 8(24): 17308-17319 (2021) - [j5]Kang Wei, Dongsheng Brian Ma:
A 10-MHz DAB Hysteretic Control Switching Power Converter for 5G IoT Power Delivery. IEEE J. Solid State Circuits 56(7): 2113-2122 (2021) - [j4]Kang Wei, Yogesh Ramadass, Dongsheng Brian Ma:
Direct 12V/24V-to-1V Tri-State Double Step-Down Power Converter With Online VCF Rebalancing and In-Situ Precharge Rate Regulation. IEEE J. Solid State Circuits 56(8): 2416-2426 (2021) - 2020
- [j3]Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farhad Farokhi, Shi Jin, Tony Q. S. Quek, H. Vincent Poor:
Federated Learning With Differential Privacy: Algorithms and Performance Analysis. IEEE Trans. Inf. Forensics Secur. 15: 3454-3469 (2020) - 2019
- [j2]Kang Wei, Jun Li, Lingjun Kong, Feng Shu, Francis C. M. Lau:
Page-Based Dynamic Partitioning Scheduling for LDPC Decoding in MLC NAND Flash Memory. IEEE Trans. Circuits Syst. II Express Briefs 66-II(12): 2082-2086 (2019) - 2017
- [j1]Lei She, Xibin Zhao, Yu Chen, Heyuan Shi, Kang Wei:
轨道交通实时以太网交换机启动性能的分析与优化 (Analysis and Optimization of Boot-up Performance for Railway Real-time Ethernet Switch). 计算机科学 44(Z11): 276-280 (2017)
Conference and Workshop Papers
- 2023
- [c13]Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao:
Make Landscape Flatter in Differentially Private Federated Learning. CVPR 2023: 24552-24562 - [c12]Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao:
Improving the Model Consistency of Decentralized Federated Learning. ICML 2023: 31269-31291 - [c11]Jun Li, Dan Luo, Kang Wei, Zhen Mei, Yumeng Shao:
FedSKG: Self-supervised Federated Learning with Structural Knowledge of Global Model. ICPADS 2023: 1628-1636 - [c10]Muhammad Rizwan Khan, Kang Wei, Xin Zhang, Cheng Huang:
A Single-Inductor 4-Phase Hybrid Switched-Capacitor Topology for Integrated 48V-to-1V DC-DC Converters. ISCAS 2023: 1-5 - [c9]Jinxiang Bai, Zhe Wang, Jun Li, Long Shi, Jie Zhang, Kang Wei, Hengtao He:
Opponent Modeling Based Dynamic Resource Trading for UAV-Assisted Edge Computing. VTC Fall 2023: 1-6 - 2022
- [c8]Kang Wei, Jiwen Dong, Wei Hu, Sijie Niu, Hui Zhao, Xizhan Gao:
Deep Dictionary Pair Learning for SAR Image Classification. ICANN (3) 2022: 87-100 - [c7]Hanchi Shen, Jun Li, Kang Wei, Pengcheng Xia, Sirui Tian, Ming Ding, Zengxiang Li:
CluFL: Cluster-driven Weighted FL Model Aggregation Strategy. ICPADS 2022: 883-890 - 2020
- [c6]Kang Wei, Yogesh Ramadass, Dongsheng Brian Ma:
11.1 A Direct 12V/24V-to-1V 3W 91.2%-Efficiency Tri-State DSD Power Converter with Online VCF Rebalancing and In-Situ Precharge Rate Regulation. ISSCC 2020: 190-192 - 2019
- [c5]Kang Wei, Jianzhi Sun, Ruijun Liu:
A Review of Asset Administration Shell. IEEM 2019: 1460-1465 - [c4]Kang Wei, Bumkil Lee, Dongsheng Brian Ma:
A 10-MHz 14.3W/mm2 DAB Hysteretic Control Power Converter Achieving 2.5W/247ns Full Load Power Flipping and above 80% Efficiency in 99.9% Power Range for 5G IoTs. VLSI Circuits 2019: 172- - 2018
- [c3]Zonghui Li, Hai Wan, Yangdong Deng, Qinghan Yu, Tianchi Li, Kang Wei, Ming Gu:
Model-based adaptation to extreme physical environments: a case study on mixed-criticality industrial ethernet. ICSE (Companion Volume) 2018: 327-328 - [c2]Kang Wei, Jun Li, Lingjun Kong, Feng Shu, Yonghui Li:
Read-Voltage Optimization for Finite Code Length in MLC NAND Flash Memory. ITW 2018: 1-5 - 2017
- [c1]Kang Wei, Dongsheng Brian Ma:
Comparative topology and power loss study for high power density and high conversion ratio integrated switching power converters. LASCAS 2017: 1-4
Informal and Other Publications
- 2024
- [i25]Xuefeng Han, Wen Chen, Jun Li, Ming Ding, Qingqing Wu, Kang Wei, Xiumei Deng, Zhen Mei:
Energy-Efficient Wireless Federated Learning via Doubly Adaptive Quantization. CoRR abs/2402.12957 (2024) - 2023
- [i24]Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao:
Improving the Model Consistency of Decentralized Federated Learning. CoRR abs/2302.04083 (2023) - [i23]Xin Yuan, Wei Ni, Ming Ding, Kang Wei, Jun Li, H. Vincent Poor:
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning. CoRR abs/2303.04274 (2023) - [i22]Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao:
Make Landscape Flatter in Differentially Private Federated Learning. CoRR abs/2303.11242 (2023) - [i21]Shunfeng Chu, Jun Li, Kang Wei, Yuwen Qian, Kunlun Wang, Feng Shu, Wen Chen:
Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning. CoRR abs/2304.04162 (2023) - [i20]Kang Wei, Jun Li, Chuan Ma, Ming Ding, Haitao Zhao, Wen Chen, Hongbo Zhu:
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy. CoRR abs/2304.04164 (2023) - [i19]Yifan Shi, Kang Wei, Li Shen, Yingqi Liu, Xueqian Wang, Bo Yuan, Dacheng Tao:
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy. CoRR abs/2305.00873 (2023) - [i18]Yifan Shi, Kang Wei, Li Shen, Jun Li, Xueqian Wang, Bo Yuan, Song Guo:
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing. CoRR abs/2305.01387 (2023) - [i17]Xuefeng Han, Jun Li, Wen Chen, Zhen Mei, Kang Wei, Ming Ding, H. Vincent Poor:
Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity. CoRR abs/2308.03521 (2023) - [i16]Jixuan Cui, Jun Li, Zhen Mei, Kang Wei, Sha Wei, Ming Ding, Wen Chen, Song Guo:
Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding. CoRR abs/2310.09002 (2023) - [i15]Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Qihua Zhou, Jie Zhang, Kang Wei, Chenxin Li, Song Guo:
Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning. CoRR abs/2311.14750 (2023) - [i14]Shuchi Wu, Chuan Ma, Kang Wei, Xiaogang Xu, Ming Ding, Yuwen Qian, Tao Xiang:
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction. CoRR abs/2312.00855 (2023) - 2022
- [i13]Kang Wei, Jun Li, Chuan Ma, Ming Ding, Sha Wei, Fan Wu, Guihai Chen, Thilina Ranbaduge:
Vertical Federated Learning: Challenges, Methodologies and Experiments. CoRR abs/2202.04309 (2022) - [i12]Chuan Ma, Jun Li, Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor:
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning. CoRR abs/2202.09027 (2022) - [i11]Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen:
Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks. CoRR abs/2210.14700 (2022) - 2021
- [i10]Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor:
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation. CoRR abs/2101.06905 (2021) - [i9]Kang Wei, Jun Li, Ming Ding, Chuan Ma, Yo-Seb Jeon, H. Vincent Poor:
Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization. CoRR abs/2101.11799 (2021) - [i8]Chuan Ma, Jun Li, Ming Ding, Kang Wei, Wen Chen, H. Vincent Poor:
Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design. CoRR abs/2105.06256 (2021) - [i7]Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor:
On Dynamic Resource Allocation for Blockchain Assisted Federated Learning over Wireless Channels. CoRR abs/2105.14708 (2021) - [i6]Kang Wei, Jun Li, Chuan Ma, Ming Ding, Cailian Chen, Shi Jin, Zhu Han, H. Vincent Poor:
Low-Latency Federated Learning over Wireless Channels with Differential Privacy. CoRR abs/2106.13039 (2021) - 2020
- [i5]Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor:
Performance Analysis and Optimization in Privacy-Preserving Federated Learning. CoRR abs/2003.00229 (2020) - [i4]Cheng Wang, Kang Wei, Lingjun Kong, Long Shi, Zhen Mei, Jun Li, Kui Cai:
DNN-aided Read-voltage Threshold Optimization for MLC Flash Memory with Finite Block Length. CoRR abs/2004.05340 (2020) - [i3]Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor:
RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network. CoRR abs/2007.02056 (2020) - [i2]Jun Li, Yumeng Shao, Ming Ding, Chuan Ma, Kang Wei, Zhu Han, H. Vincent Poor:
Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients. CoRR abs/2012.02044 (2020) - 2019
- [i1]Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farhad Farokhi, Shi Jin, Tony Q. S. Quek, H. Vincent Poor:
Federated Learning with Differential Privacy: Algorithms and Performance Analysis. CoRR abs/1911.00222 (2019)
Coauthor Index
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