Wei, Kang

1. Federated Learning with Differential Privacy: Algorithms and Performance Analysis
   2019/11/01 by Kang Wei, Wei, Kang, Jun Li +15 · 51 citations
   Computer Science · #Cryptography and Data Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Networking and Internet Architecture (cs.NI) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
2. Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation
   2021/01/18 by Li, Jun, Shao, Yumeng, Wei, Kang +5 · 4 citations
   #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
3. Make Landscape Flatter in Differentially Private Federated Learning
   2023/03/20 by Shi, Yifan, Liu, Yingqi, Wei, Kang +3 · 4 citations
   #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Improving the Model Consistency of Decentralized Federated Learning
   2023/02/08 by Yifan Shi, Li Shen, Shi, Yifan +11 · 4 citations
   Computer Science · Social Sciences · #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
5. Low-Latency Federated Learning over Wireless Channels with Differential Privacy
   2021/06/20 by Wei, Kang, Li, Jun, Ma, Chuan +5 · 3 citations
   #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
6. Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning
   2023/03/07 by Yuan, Xin, Ni, Wei, Ding, Ming +3 · 3 citations
   #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Performance (cs.PF)
7. Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning
   2022/02/18 by Ma, Chuan, Li, Jun, Wei, Kang +5 · 2 citations
   #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
8. Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks
   2022/10/26 by Xiumei Deng, Deng, Xiumei, Jun Li +11 · 2 citations
   Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Technologies #Distributed #FOS: Computer and information sciences #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
9. Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization
   2021/01/28 by Kang Wei, Wei, Kang, Jun Li +9 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Privacy-Preserving Technologies in Data #Cryptography and Data Security
10. Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design
    2021/05/10 by Chuan Ma, Ma, Chuan, Jun Li +9 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Data Security #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
11. Vertical Federated Learning: Challenges, Methodologies and Experiments
    2022/02/09 by Wei Kang, Jun Li, Wei, Kang +13 · 1 citation
    Computer Science · #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques #Advanced Graph Neural Networks
12. Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy
    2023/05/01 by Yifan Shi, Shi, Yifan, Wei Kang +11 · 1 citation
    Computer Science · #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
13. Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization
    2024/05/28 by Xiumei Deng, Deng, Xiumei, Jun Li +14 · 1 citation
    Computer Science · #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
14. Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity
    2023/08/04 by Han, Xuefeng, Li, Jun, Chen, Wen +4 · 2 citations
    #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
15. EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection
    2024/05/21 by Yuwen Qian, Shuchi Wu, Qian, Yuwen +12 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Network Security and Intrusion Detection
16. Blockchain Assisted Federated Learning over Wireless Channels: Dynamic Resource Allocation and Client Scheduling
    2021/05/31 by Xiumei Deng, Jun Li, Deng, Xiumei +13 · 1 citation
    Computer Science · #Cryptography and Data Security #Distributed #FOS: Computer and information sciences #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)