Kang Wei

According to our database, Kang Wei authored at least 61 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Randomized DP-DFL: Towards Differentially Private Decentralized Federated Learning via Randomized Model Interaction.

Weihao Zhu, Long Shi, Kang Wei, Yipeng Zhou, Zhe Wang, Zehui Xiong, Jun Li

IEEE Trans. Mob. Comput., December, 2025

Toward the Flatter Landscape and Better Generalization in Federated Learning Under Client-Level Differential Privacy.

Yifan Shi, Kang Wei, Li Shen, Yingqi Liu, Xueqian Wang, Bo Yuan, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

Enhancing Antiplagiarism Measures in Blockchain-Based Decentralized Federated Learning for Cross-Enterprise Modeling.

Yumeng Shao, Jun Li, Kang Wei, Ming Ding, Feng Shu, Wen Chen

IEEE Trans. Ind. Informatics, October, 2025

Stackelberg Game-Based Hierarchical Incentive Mechanism for Clustered Vehicular Federated Learning.

Siyang Wang, Wenchao Xia, Haitao Zhao, Kang Wei, Tony Q. S. Quek, Hongbo Zhu

IEEE Trans. Commun., October, 2025

Rotatable Antenna Meets UAV: Towards Dual-Level Channel Reconfiguration Paradigm for ISAC.

Shiying Chen, Guangji Chen, Long Shi, Qingqing Wu, Kang Wei

CoRR, October, 2025

Responsible Diffusion: A Comprehensive Survey on Safety, Ethics, and Trust in Diffusion Models.

Kang Wei, Xin Yuan, Fushuo Huo, Chuan Ma, Long Yuan, Songze Li, Ming Ding, Dacheng Tao

CoRR, September, 2025

Analysis and Optimization of Wireless Multimodal Federated Learning on Modal Heterogeneity.

Xuefeng Han, Wen Chen, Jun Li, Ming Ding, Qingqing Wu, Kang Wei, Xiumei Deng, Yumeng Shao, Qiong Wu

CoRR, September, 2025

Energy-Efficient Wireless Federated Learning via Doubly Adaptive Quantization.

Xuefeng Han, Wen Chen, Jun Li, Ming Ding, Qingqing Wu, Kang Wei, Xiumei Deng, Zhen Mei

IEEE Trans. Cogn. Commun. Netw., August, 2025

Online Device Scheduling and Model Partition in Hybrid Asynchronous Split Federated Learning.

Shunfeng Chu, Yiyang Ni, Jun Li, Kang Wei, Jianxin Wang

IEEE Commun. Lett., August, 2025

Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence.

Xin Yuan, Ning Li, Kang Wei, Wenchao Xu, Quan Chen, Hao Chen, Song Guo

IEEE Trans. Mob. Comput., March, 2025

Towards Communication-Efficient Federated Learning via Sparse and Aligned Adaptive Optimization.

Xiumei Deng, Jun Li, Kang Wei, Long Shi, Zehui Xiong, Ming Ding, Wen Chen, Shi Jin, H. Vincent Poor

IEEE Trans. Signal Process., 2025

Trustworthy Blockchain-Assisted Federated Learning: Decentralized Reputation Management and Performance Optimization.

Weihao Zhu, Long Shi, Jun Li, Bin Cao, Kang Wei, Zhe Wang, Tao Huang

IEEE Internet Things J., 2025

2024

Blockchain-Aided Wireless Federated Learning: Resource Allocation and Client Scheduling.

Jun Li, Weiwei Zhang, Kang Wei, Guangji Chen, Feng Shu, Wen Chen, Shi Jin

IEEE Internet Things J., November, 2024

Deploying Graph Neural Networks in Wireless Networks: A Link Stability Viewpoint.

Jun Li, Weiwei Zhang, Kang Wei, Guangji Chen, Long Shi, Wen Chen

IEEE Wirel. Commun. Lett., October, 2024

Efficient Federated Learning With Enhanced Privacy via Lottery Ticket Pruning in Edge Computing.

Yifan Shi, Kang Wei, Li Shen, Jun Li, Xueqian Wang, Bo Yuan, Song Guo

IEEE Trans. Mob. Comput., October, 2024

Toward Efficient and Secure Object Detection With Sparse Federated Training Over Internet of Vehicles.

Yuwen Qian, Luping Rao, Chuan Ma, Kang Wei, Ming Ding, Long Shi

IEEE Trans. Intell. Transp. Syst., October, 2024

Analysis and Optimization of Wireless Federated Learning With Data Heterogeneity.

Xuefeng Han, Jun Li, Wen Chen, Zhen Mei, Kang Wei, Ming Ding, H. Vincent Poor

IEEE Trans. Wirel. Commun., July, 2024

Mobility-Aware Utility Maximization in Digital Twin-Enabled Serverless Edge Computing.

Jing Li, Song Guo, Weifa Liang, Jianping Wang, Quan Chen, Wenchao Xu, Kang Wei, Xiaohua Jia

IEEE Trans. Computers, July, 2024

Design of Anti-Plagiarism Mechanisms in Decentralized Federated Learning.

Yumeng Shao, Jun Li, Ming Ding, Kang Wei, Chuan Ma, Long Shi, Wen Chen, Shi Jin

IEEE Trans. Serv. Comput., 2024

Peak AoI Minimization With Directional Charging for Data Collection at Wireless-Powered Network Edge.

Quan Chen, Song Guo, Wenchao Xu, Jing Li, Kang Wei, Zhipeng Cai, Hong Gao

IEEE Trans. Serv. Comput., 2024

Clustering-Based Contrastive Learning for Fault Diagnosis With Few Labeled Samples.

Yajiao Dai, Zhen Mei, Jun Li, Zengxiang Li, Kang Wei, Ming Ding, Sheng Guo, Wen Chen

IEEE Trans. Instrum. Meas., 2024

Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization.

Kang Wei, Jun Li, Ming Ding, Chuan Ma, Yo-Seb Jeon, H. Vincent Poor

IEEE Trans. Dependable Secur. Comput., 2024

Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT Network.

Shunfeng Chu, Jun Li, Jianxin Wang, Yiyang Ni, Kang Wei, Wen Chen, Shi Jin

CoRR, 2024

Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization.

Xiumei Deng, Jun Li, Kang Wei, Long Shi, Zeihui Xiong, Ming Ding, Wen Chen, Shi Jin, H. Vincent Poor

CoRR, 2024

EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection.

Yuwen Qian, Shuchi Wu, Kang Wei, Ming Ding, Di Xiao, Tao Xiang, Chuan Ma, Song Guo

CoRR, 2024

Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations.

Yumeng Shao, Jun Li, Long Shi, Kang Wei, Ming Ding, Qianmu Li, Zengxiang Li, Wen Chen, Shi Jin

CoRR, 2024

Gradient sparsification for efficient wireless federated learning with differential privacy.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Feng Shu, Haitao Zhao, Wen Chen, Hongbo Zhu

Sci. China Inf. Sci., 2024

Trustworthy DNN partition for blockchain-enabled digital twin in wireless IIoT networks.

Xiumei Deng, Jun Li, Long Shi, Kang Wei, Ming Ding, Yumeng Shao, Wen Chen, Shi Jin

Sci. China Inf. Sci., 2024

Dual Expert Distillation Network for Generalized Zero-Shot Learning.

Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Towards Efficient Backdoor Attacks Against Federated Self-supervised Learning as a Service Through Intra-Union Aggregation.

Shuchi Wu, Chuan Ma, Kang Wei, Ming Ding, Jiyun Yang, Yuwen Qian

Proceedings of the Service Science - CCF 17th International Conference, 2024

Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-relational Extraction.

Shuchi Wu, Chuan Ma, Kang Wei, Xiaogang Xu, Ming Ding, Yuwen Qian, Di Xiao, Tao Xiang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Trusted AI in Multiagent Systems: An Overview of Privacy and Security for Distributed Learning.

Chuan Ma, Jun Li, Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor

Proc. IEEE, September, 2023

Blockchain Assisted Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Client Scheduling.

Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor

IEEE Trans. Wirel. Commun., May, 2023

Low-Latency Federated Learning With DNN Partition in Distributed Industrial IoT Networks.

Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen

IEEE J. Sel. Areas Commun., March, 2023

Federated Meta-Learning for Few-Shot Fault Diagnosis With Representation Encoding.

Jixuan Cui, Jun Li, Zhen Mei, Kang Wei, Sha Wei, Ming Ding, Wen Chen, Song Guo

IEEE Trans. Instrum. Meas., 2023

Personalized Federated Learning With Differential Privacy and Convergence Guarantee.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Wen Chen, Jun Wu, Meixia Tao, H. Vincent Poor

IEEE Trans. Inf. Forensics Secur., 2023

Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning.

Xin Yuan, Wei Ni, Ming Ding, Kang Wei, Jun Li, H. Vincent Poor

IEEE Trans. Inf. Forensics Secur., 2023

RDP-GAN: A Rényi-Differential Privacy Based Generative Adversarial Network.

Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor

IEEE Trans. Dependable Secur. Comput., 2023

Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction.

Shuchi Wu, Chuan Ma, Kang Wei, Xiaogang Xu, Ming Ding, Yuwen Qian, Tao Xiang

CoRR, 2023

Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning.

Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Qihua Zhou, Jie Zhang, Kang Wei, Chenxin Li, Song Guo

CoRR, 2023

Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy.

Yifan Shi, Kang Wei, Li Shen, Yingqi Liu, Xueqian Wang, Bo Yuan, Dacheng Tao

CoRR, 2023

Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Haitao Zhao, Wen Chen, Hongbo Zhu

CoRR, 2023

Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning.

Shunfeng Chu, Jun Li, Kang Wei, Yuwen Qian, Kunlun Wang, Feng Shu, Wen Chen

CoRR, 2023

Opponent Modeling Based Dynamic Resource Trading for UAV-Assisted Edge Computing.

Jinxiang Bai, Zhe Wang, Jun Li, Long Shi, Jie Zhang, Kang Wei, Hengtao He

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

FedSKG: Self-supervised Federated Learning with Structural Knowledge of Global Model.

Jun Li, Dan Luo, Kang Wei, Zhen Mei, Yumeng Shao

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Improving the Model Consistency of Decentralized Federated Learning.

Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao

Proceedings of the International Conference on Machine Learning, 2023

Make Landscape Flatter in Differentially Private Federated Learning.

Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation.

Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor

IEEE Trans. Parallel Distributed Syst., 2022

User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization.

Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor

IEEE Trans. Mob. Comput., 2022

Low-Latency Federated Learning Over Wireless Channels With Differential Privacy.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Cailian Chen, Shi Jin, Zhu Han, H. Vincent Poor

IEEE J. Sel. Areas Commun., 2022

DNN-aided read-voltage threshold optimization for MLC flash memory with finite block length.

Cheng Wang, Kang Wei, Lingjun Kong, Long Shi, Zhen Mei, Jun Li, Kui Cai

IET Commun., 2022

Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning.

Chuan Ma, Jun Li, Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor

CoRR, 2022

Vertical Federated Learning: Challenges, Methodologies and Experiments.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Sha Wei, Fan Wu, Guihai Chen, Thilina Ranbaduge

CoRR, 2022

CluFL: Cluster-driven Weighted FL Model Aggregation Strategy.

Hanchi Shen, Jun Li, Kang Wei, Pengcheng Xia, Sirui Tian, Ming Ding, Zengxiang Li

Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

2021

Federated Learning With Unreliable Clients: Performance Analysis and Mechanism Design.

Chuan Ma, Jun Li, Ming Ding, Kang Wei, Wen Chen, H. Vincent Poor

IEEE Internet Things J., 2021

On Dynamic Resource Allocation for Blockchain Assisted Federated Learning over Wireless Channels.

Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor

CoRR, 2021

2020

Federated Learning With Differential Privacy: Algorithms and Performance Analysis.

Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farhad Farokhi, Shi Jin, Tony Q. S. Quek, H. Vincent Poor

IEEE Trans. Inf. Forensics Secur., 2020

Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients.

Jun Li, Yumeng Shao, Ming Ding, Chuan Ma, Kang Wei, Zhu Han, H. Vincent Poor

CoRR, 2020

Performance Analysis and Optimization in Privacy-Preserving Federated Learning.

Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor

CoRR, 2020

2019

Page-Based Dynamic Partitioning Scheduling for LDPC Decoding in MLC NAND Flash Memory.

Kang Wei, Jun Li, Lingjun Kong, Feng Shu, Francis C. M. Lau

IEEE Trans. Circuits Syst. II Express Briefs, 2019

2018

Read-Voltage Optimization for Finite Code Length in MLC NAND Flash Memory.

Kang Wei, Jun Li, Lingjun Kong, Feng Shu, Yonghui Li

Proceedings of the IEEE Information Theory Workshop, 2018