2 papers
cs.NI2025
Value-based Proactive Caching for Sensing Data in Vehicular Networks: An Operator's Perspective
Yantong Wang, Ke Liu, Hui Ji +1
Access to sensing data (SD) is crucial for vehicular networks to ensure safe and efficient transportation services. Given the vast volume of data involved, proactive caching requir…
cs.PF2025
PerfSeer: An Efficient and Accurate Deep Learning Models Performance Predictor
Xinlong Zhao, Jiande Sun, Jia Zhang +4
Predicting the performance of deep learning (DL) models, such as execution time and resource utilization, is crucial for Neural Architecture Search (NAS), DL cluster schedulers, an…