Articles with "early exit" as a keyword



Dynamic Swin Transformer With Early Exit for Efficient Quality Defect Detection in Power Distribution Network

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Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3605908

Abstract: Operational reliability of energy metering devices is paramount for modern smart grids, yet these devices face multifaceted degradation from concurrent environmental, electrical, and mechanical stresses. Conventional diagnostic methods prove inadequate in effectively integrating heterogeneous multi-modal… read more here.

Keywords: detection; exit; swin transformer; early exit ... See more keywords

Learning Sensor Sample-Reweighting for Dynamic Early-Exit Activity Recognition Via Meta Learning

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Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2024.3524252

Abstract: During recent years, dynamic early-exit has provided a promising paradigm to improve the computational efficiency of deep neural networks by constructing multiple classifiers to let easy samples exit at shallow layers while avoiding redundant computations… read more here.

Keywords: exit; early exit; activity samples; dynamic early ... See more keywords

ClassyNet: Class-Aware Early-Exit Neural Networks for Edge Devices

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Published in 2024 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2023.3344120

Abstract: Edge-based and IoT devices have seen phenomenal growth in recent years, driven by the surge in demand for emerging applications that leverage machine learning models, such as deep neural networks (DNNs). However, a primary drawback… read more here.

Keywords: exit; early exit; edge devices; class aware ... See more keywords

Cost-Effective RF Fingerprinting Based on Hybrid CVNN-RF Classifier With Automated Multidimensional Early-Exit Strategy

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Published in 2024 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2024.3416624

Abstract: While the Internet of Things (IoT) technology is booming and offers huge opportunities for information exchange, it also faces unprecedented security challenges. As an important complement to the physical-layer security technologies for IoT, radio frequency… read more here.

Keywords: early exit; hybrid cvnn; network; cost ... See more keywords

Personalized Split Federated Learning With Early Exit: Pretraining and Online Learning Against Label Shifts

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Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3601814

Abstract: Advancements in artificial intelligence (AI) have enabled Internet of Things (IoT) devices to offer intelligent services, improving system adaptability and scalability. split federated learning (SFL) has emerged as a promising approach for privacy-sensitive and resource-constrained… read more here.

Keywords: online learning; split federated; early exit; client ... See more keywords

Realization of Early-Exit Dynamic Neural Networks on Reconfigurable Hardware

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Published in 2025 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2024.3519055

Abstract: Early-exiting is a strategy that is becoming popular in deep neural networks (DNNs), as it can lead to faster execution and a reduction in the computational intensity of inference. To achieve this, intermediate classifiers abstract… read more here.

Keywords: hardware; exit; intermediate classifiers; early exit ... See more keywords

UCBEE: A Multi Armed Bandit Approach for Early-Exit in Neural Networks

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Published in 2025 at "IEEE Transactions on Network and Service Management"

DOI: 10.1109/tnsm.2024.3479076

Abstract: Deep Neural Networks (DNNs) have demonstrated exceptional performance in diverse tasks. However, deploying DNNs on resource-constrained devices presents challenges due to energy consumption and delay overheads. To mitigate these issues, early-exit DNNs (EE-DNNs) incorporate exit… read more here.

Keywords: image classification; multi armed; ucbee multi; exit ... See more keywords