2 papers
cs.CV2026
FedKLPR: KL-Guided Pruning-Aware Federated Learning for Person Re-Identification
Po-Hsien Yu, Yu-Syuan Tseng, Shao-Yi Chien
Person re-identification (re-ID) is a fundamental task in intelligent surveillance and public safety. Federated learning (FL) provides a privacy-preserving paradigm for collaborati…
cs.LG2025
FGFP: A Fractional Gaussian Filter and Pruning for Deep Neural Networks Compression
Kuan-Ting Tu, Po-Hsien Yu, Yu-Syuan Tseng +1
Network compression techniques have become increasingly important in recent years because the loads of Deep Neural Networks (DNNs) are heavy for edge devices in real-world applicat…