Kang Wei

1. Federated Learning with Differential Privacy: Algorithms and Performance Analysis
   2019/11/01 by Kang Wei, Wei, Kang, Jun Li +15 · 50 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. Federated Learning With Differential Privacy: Algorithms and Performance Analysis
   2020/01/01 by Kang Wei, Jun Li, Ming Ding +6 · 53 citations
   Computer Science · #Cryptography and Data Security #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
3. Trusted AI in Multiagent Systems: An Overview of Privacy and Security for Distributed Learning
   2023/09/01 by Chuan Ma, Jun Li, Kang Wei +5 · 5 citations
   Computer Science · #Privacy-Preserving Technologies in Data #Cryptography and Data Security #Adversarial Robustness in Machine Learning
4. Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization
   2021/01/28 by Kang Wei, Jun Li, Wei, Kang +9 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Privacy-Preserving Technologies in Data #Cryptography and Data Security
5. 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)
6. 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)