A survey of techniques for optimizing transformer inference

KT Chitty-Venkata, S Mittal, M Emani… - Journal of Systems …, 2023 - Elsevier
Recent years have seen a phenomenal rise in the performance and applications of
transformer neural networks. The family of transformer networks, including Bidirectional …

[HTML][HTML] TransU-Net++: Rethinking attention gated TransU-Net for deforestation map**

A Jamali, SK Roy, J Li, P Ghamisi - International Journal of Applied Earth …, 2023 - Elsevier
Deforestation has become a major cause of climate change, and as a result, both
characterizing the drivers and estimating segmentation maps of deforestation have piqued …

Efficient vision transformer for human-centric aiot applications through token tracking assignment

C Li, Y Peng, G Liu, Y Li, X Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The integration of Artificial Intelligence Internet of Things (AIoT) with consumer electronics
has resulted in enhanced connectivity and intelligence within the consumer electronics …

Velo: A vector database-assisted cloud-edge collaborative llm qos optimization framework

Z Yao, Z Tang, J Lou, P Shen… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The Large Language Model (LLM) has gained significant popularity and is extensively
utilized across various domains. Most LLM deployments occur within cloud data centers …

Towards transferable adversarial attacks on vision transformers for image classification

X Guo, P Chen, Z Lu, H Chai, X Du, X Wu - Journal of Systems Architecture, 2024 - Elsevier
The deployment of high-performance Vision Transformer (ViT) models has garnered
attention from both industry and academia. However, their vulnerability to adversarial …

Sketch-Based Adaptive Communication Optimization in Federated Learning

P Zhang, L Xu, L Mei, C Xu - IEEE Transactions on Computers, 2024 - ieeexplore.ieee.org
In recent years, cross-device federated learning (FL), particularly in the context of Internet of
Things (IoT) applications, has demonstrated its remarkable potential. Despite significant …

A multiview-slice feature fusion network for early diagnosis of Alzheimer's disease with structural MRI images

H Huang, W Pedrycz, K Hirota, F Yan - Information Fusion, 2025 - Elsevier
Alzheimer's disease (AD) is a prevalent neurodegenerative disorder with high incidence and
significant mortality among the elderly worldwide. Nevertheless, early and accurate …

Seed feature maps-based cnn models for leo satellite remote sensing services

Z Lu, C Ding, S Wang, R Cheng… - … Conference on Web …, 2023 - ieeexplore.ieee.org
Deploying high-performance convolutional neural network (CNN) models on low-earth orbit
(LEO) satellites for rapid remote sensing image processing has attracted significant interest …

Attention-based variable-size feature compression module for edge inference

S Li, C Ma, Y Zhang, L Li, C Wang, X Cui… - The Journal of …, 2024 - Springer
Artificial intelligence has made significant breakthroughs in many fields, especially with the
broad deployment of edge devices, which provides opportunities to develop and apply …

A Resource-Efficient Multiple Recognition Services Framework for IoT Devices

C Ding, Z Liu, A Zhou, J Yu, Y Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Deploying the convolutional neural network (CNN) model on Internet of Things (IoT) devices
to provide diverse recognition services has received increasing attention. Due to the limited …