Guo, Pengxin
- Selective Aggregation for Low-Rank Adaptation in Federated Learning
2024/10/02 by Pengxin Guo, Guo, Pengxin, Shuang Zeng +9 · 15 citations
Computer Science · Engineering · Neuroscience · #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Traffic Prediction and Management Techniques
- Multi-Objective Meta Learning
2021/02/14 by Ye, Feiyang, Lin, Baijiong, Yue, Zhixiong +3 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Multi-Task Adversarial Attack
2020/11/19 by Guo, Pengxin, Xu, Yuancheng, Lin, Baijiong +1 · 1 citation
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- A New Federated Learning Framework Against Gradient Inversion Attacks
2024/12/10 by Pengxin Guo, Shuang Zeng, Guo, Pengxin +11 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Privacy-Preserving Technologies in Data #Cryptography and Data Security
- Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting
2024/01/08 by Pengxin Guo, Guo, Pengxin, Pengfei Jin +7 · 1 citation
Engineering · Environmental Science · #Air Quality Monitoring and Forecasting #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #Traffic Prediction and Management Techniques #Vehicle emissions and performance #electronic engineering #information engineering
- Tackling Data Heterogeneity in Federated Learning via Loss Decomposition
2024/08/22 by Zeng, Shuang, Guo, Pengxin, Wang, Shuai +3 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks
2025/03/13 by Guo, Pengxin, Wang, Runxi, Zeng, Shuang +7 · 2 citations
#Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences