Kang Wei

发表

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

Long Shi, Ming Ding, Chuan Ma, 2022, IEEE Journal on Selected Areas in Communications.

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

Long Shi, H. V. Poor, Ming Ding, 2021, IEEE Transactions on Wireless Communications.

Vertical Federated Learning: Challenges, Methodologies and Experiments

Jun Li, Guihai Chen, Fan Wu, 2022, ArXiv.

Federated Learning With Differential Privacy: Algorithms and Performance Analysis

H. Vincent Poor, Jun Li, Shi Jin, 2019, IEEE Transactions on Information Forensics and Security.

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

H. Poor, Ming Ding, Zhu Han, 2021, IEEE Transactions on Parallel and Distributed Systems.

Low-Latency Federated Learning Over Wireless Channels With Differential Privacy

H. Vincent Poor, Chuan Ma, Ming Ding, 2021, IEEE Journal on Selected Areas in Communications.

Spatial-temporal Analysis of COVID-19's Impact on Human Mobility: the Case of the United States pdf

Weizi Li, Lei Lin, Songhe Wang, 2020, ArXiv.

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

Yi Shi, Dacheng Tao, Li Shen, 2023, ArXiv.

Make Landscape Flatter in Differentially Private Federated Learning

Yi Shi, Dacheng Tao, Li Shen, 2023, ArXiv.

Improving the Model Consistency of Decentralized Federated Learning

Yi Shi, Dacheng Tao, Li Shen, 2023, ICML.

Make Landscape Flatter in Differentially Private Federated Learning

Yi Shi, Dacheng Tao, Li Shen, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

H. Vincent Poor, Chuan Ma, Ming Ding, 2021, IEEE Transactions on Mobile Computing.

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

Jun Li, L. Shen, Yi Shi, 2023, IEEE Transactions on Mobile Computing.

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

Jun Li, Chuan Ma, H. Vincent Poor, 2020, ArXiv.

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

Ming Ding, Jun Li, Chuan Ma, 2022, Proceedings of the IEEE.

CluFL: Cluster-driven Weighted FL Model Aggregation Strategy

Jun Yu Li, Ming Ding, Kang Wei, 2023, 2022 IEEE 28th International Conference on Parallel and Distributed Systems (ICPADS).

Personalized Federated Learning With Differential Privacy and Convergence Guarantee

H. Vincent Poor, M. Tao, Jun Li, 2023, IEEE Transactions on Information Forensics and Security.

Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity

Jun Li, Ming Ding, Kang Wei, 2023, ArXiv.

Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy

Jun Li, Hongbo Zhu, Ming Ding, 2023, ArXiv.

Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning

Kunlun Wang, Jun Li, Yuwen Qian, 2023, ArXiv.

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

Jun Li, Ming Ding, Xinnan Yuan, 2023, IEEE Transactions on Information Forensics and Security.

DNN-aided Read-voltage Threshold Optimization for MLC Flash Memory with Finite Block Length pdf

Cheng Wang, Kui Cai, Zhen Mei, 2020, IET Commun..

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

Lingjun Kong, Feng Shu, Yonghui Li, 2018, 2018 IEEE Information Theory Workshop (ITW).

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

H. Poor, Wen Chen, Long Shi, 2021, 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics).

RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network

H. Vincent Poor, Chuan Ma, Jian Weng, 2020, IEEE Transactions on Dependable and Secure Computing.

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

Ming Ding, Jun Li, Chuan Ma, 2022, Proceedings of the IEEE.

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

Yi Shi, Dacheng Tao, Li Shen, 2023, arXiv.org.

Federated Learning With Unreliable Clients: Performance Analysis and Mechanism Design

H. Vincent Poor, Chuan Ma, Wen Chen, 2021, IEEE Internet of Things Journal.

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

Kang Wei, Shuchi Wu, Chuan Ma, 2023, ECCV.