2 papers
cs.DC2025
SparOA: Sparse and Operator-aware Hybrid Scheduling for Edge DNN Inference
Ziyang Zhang, Jie Liu, Luca Mottola
The resource demands of deep neural network (DNN) models introduce significant performance challenges, especially when deployed on resource-constrained edge devices. Existing solut…
cs.CV2025
E4: Energy-Efficient DNN Inference for Edge Video Analytics Via Early-Exit and DVFS
Ziyang Zhang, Yang Zhao, Ming-Ching Chang +2
Deep neural network (DNN) models are increasingly popular in edge video analytic applications. However, the compute-intensive nature of DNN models pose challenges for energy-effici…