2 papers
cs.NE2025
A Universal Framework for Large-Scale Multi-Objective Optimization Based on Particle Drift and Diffusion
Jia-Cheng Li, Min-Rong Chen, Guo-Qiang Zeng +3
Large-scale multi-objective optimization poses challenges to existing evolutionary algorithms in maintaining the performances of convergence and diversity because of high dimension…
cs.CR2024
Enabling Privacy-Preserving and Publicly Auditable Federated Learning
Huang Zeng, Anjia Yang, Jian Weng +4
Federated learning (FL) has attracted widespread attention because it supports the joint training of models by multiple participants without moving private dataset. However, there…