2 papers
cs.DC2025
Infer-EDGE: Dynamic DNN Inference Optimization in 'Just-in-time' Edge-AI Implementations
Motahare Mounesan, Xiaojie Zhang, Saptarshi Debroy
Balancing mutually diverging performance metrics, such as end-to-end latency, accuracy, and device energy consumption, is a challenging undertaking for deep neural network (DNN) in…
cs.DC2024
EdgeRL: Reinforcement Learning-driven Deep Learning Model Inference Optimization at Edge
Motahare Mounesan, Xiaojie Zhang, Saptarshi Debroy
Balancing mutually diverging performance metrics, such as, processing latency, outcome accuracy, and end device energy consumption is a challenging undertaking for deep learning mo…