Showing cs.DCShow all
2 papers · 1 filter
cs.DC2026
DIALER: A Case for Improving Rare-Class Accuracy in Retraining-Free Edge Video Analytics
Dongyoon Ryu, Sungho Jeon, Xinyue Ma +4
Edge video analytics with lightweight models is prone to accuracy degradation due to persistent distributional shifts in live video streams. While continuous learning (CL) addresse…
cs.DC2026
Heddle: Learning Structural Templates for Parallelism Planning on Heterogeneous GPU Clusters
Taeyoon Kim, Yonguk Song, Seoyeong Choy +4
Training large machine learning models on shared GPU infrastructures faces two challenges: (1) GPU availability shifts dynamically with varying resource demands from tenants, and (…