14 citations · 21 across the 3 of their papers we have counts for
4 papers
FedCVESA: Taking Away Training Data in Federated Learning via Correlation Value Encoding and Segmented Aggregation
Chongkai Li, Bang Zhang, Wenjian Luo
Federated learning (FL) avoids explicit data exposure by keeping raw data on local clients, yet privacy risks remain in the training process and the learned model itself. Recently,…
A Novel Immune Algorithm for Multiparty Multiobjective Optimization
Kesheng Chen, Wenjian Luo, Qi Zhou +3
Traditional multiobjective optimization problems (MOPs) are insufficiently equipped for scenarios involving multiple decision makers (DMs), which are prevalent in many practical ap…
Evolutionary Biparty Multiobjective UAV Path Planning: Problems and Empirical Comparisons
Kesheng Chen, Wenjian Luo, Xin Lin +2
Unmanned aerial vehicles (UAVs) have been widely used in urban missions, and proper planning of UAV paths can improve mission efficiency while reducing the risk of potential third-…
Showing Many Labels in Multi-label Classification Models: An Empirical Study of Adversarial Examples
Yujiang Liu, Wenjian Luo, Zhijian Chen +1
With the rapid development of Deep Neural Networks (DNNs), they have been applied in numerous fields. However, research indicates that DNNs are susceptible to adversarial examples,…