Localized Knowledge Distillation Helps IoT Devices Provide High-performance Visual Services

Secaas-based partially observable defense model for iiot against advanced persistent threats

Z Zhang, C Ding, Y Li, J Yu, J Li - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the advancement of intelligent and networked technology, the Industrial Internet of
Things (IIoT) faces an escalating threat from cyberattacks, especially by Advanced Persistent …
被引用次数：1 相关文章 所有 3 个版本
[PDF] arxiv.org

LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices

C Ding, X Cao, J Xie, L Fan, S Wang, Z Lu - arXiv preprint arXiv …, 2024 - arxiv.org
Efficient fine-tuning of pre-trained convolutional neural network (CNN) models using local
data is essential for providing high-quality services to users using ubiquitous and resource …
相关文章 所有 2 个版本

Multi-Vision Services Acceleration Framework for IoT Devices

J Xie, C Ding, S Ren, Y Li - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Deploying a single deep neural network (DNN) model on ubiquitous Internet of Things (IoT)
devices to provide multiple vision services (eg, semantic segmentation service, facial …
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