Junyuan Lyu

Privacy-Preserving Federated Semi-Supervised Learning for Industrial Machine Vision: A Real-World Deployment Study With FedSSL-ADIM

This study presents FedSSL-ADIM, a privacy-preserving federated semi-supervised framework for industrial machine vision that addresses data-centralization constraints, high annotation costs, and cross-site heterogeneity. Deployed across three textile factories with 80 robotic systems and edge devices rated at 0.1–1.0 T...