Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision

X Luo, D Liu, H Kong, S Huai, H Chen… - ACM Transactions on …, 2024 - dl.acm.org
Deep neural networks (DNNs) have recently achieved impressive success across a wide
range of real-world vision and language processing tasks, spanning from image …

DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics

Y Kim, C Oh, J Hwang, W Kim, S Oh, Y Lee… - arXiv preprint arXiv …, 2024 - arxiv.org
Deep neural network (DNN) video analytics is crucial for autonomous systems such as self-
driving vehicles, unmanned aerial vehicles (UAVs), and security robots. However, real-world …

FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection

V Sathiamoorthy, S Huai, H Kong, D Liu… - Proceedings of the …, 2024 - dl.acm.org
Federated learning (FL) is a collaborative learning scheme to train deep learning models,
where collaborating parties can consolidate their models without sharing local data with …

On Hardware-Aware Design and Optimization of Edge Intelligence

S Huai, H Kong, X Luo, D Liu… - IEEE Design & …, 2023 - ieeexplore.ieee.org
On Hardware-Aware Design and Optimization of Edge Intelligence Page 1 On Hardware-Aware
Design and Optimization of Edge Intelligence Shuo Huai∗†, Hao Kong∗†, Xiangzhong Luo∗ …

Adaptive neural networks for edge intelligence

H Kong - 2023 - dr.ntu.edu.sg
Deep neural networks (DNNs) have achieved remarkable results and have become the
mainstay of many applications including autonomous driving and emerging AI-enabled …

[PDF][PDF] DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics

YKCOJ Hwang, WKS Oh, YLH Sharma… - jongse-park.github.io
Deep neural network (DNN) video analytics is crucial for autonomous systems such as self-
driving vehicles, unmanned aerial vehicles (UAVs), and security robots. However, real-world …