Yue, Kai
- Gradient Obfuscation Gives a False Sense of Security in Federated Learning
2022/06/08 by Yue, Kai, Jin, Richeng, Wong, Chau-Wai +2 · 8 citations
#Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- Neural Tangent Kernel Empowered Federated Learning
2021/10/07 by Yue, Kai, Jin, Richeng, Pilgrim, Ryan +3 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Federated Learning via Plurality Vote
2021/10/06 by Yue, Kai, Jin, Richeng, Wong, Chau-Wai +1 · 1 citation
#Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Parallel #Signal Processing (eess.SP) #and Cluster Computing (cs.DC) #electronic engineering #information engineering
- TernaryVote: Differentially Private, Communication Efficient, and Byzantine Resilient Distributed Optimization on Heterogeneous Data
2024/02/16 by Richeng Jin, Yujie Gu, Jin, Richeng +9 · 1 citation
Computer Science · #Stochastic Gradient Optimization Techniques #Blockchain Technology Applications and Security #Privacy-Preserving Technologies in Data
- NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel
2024/10/02 by Thompson, Gabriel, Yue, Kai, Wong, Chau-Wai +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Advancing Hybrid Defense for Byzantine Attacks in Federated Learning
2024/09/10 by Kai Yue, Yue, Kai, Richeng Jin +5 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Distributed #FOS: Computer and information sciences #Network Security and Intrusion Detection #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)