2 papers
cs.DC2026
DPIFrame: A Dual-Level Parallelism Acceleration Framework for CTR Model Inference
Dezhi Yi, Huifeng Guo, Kunpeng Xie +6
Deep learning technology has enhanced the ability of Click-through rate (CTR) prediction models to learn features and improve prediction accuracy. However, it is challenging to dep…
cs.CR2024
Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices
Xueshuo Xie, Haoxu Wang, Zhaolong Jian +4
Edge intelligence enables resource-demanding Deep Neural Network (DNN) inference without transferring original data, addressing concerns about data privacy in consumer Internet of…