3 papers
cs.LG2026
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,…
cs.NE2026
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…
cs.NE2026
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-…