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A survey of techniques for optimizing transformer inference
Recent years have seen a phenomenal rise in the performance and applications of
transformer neural networks. The family of transformer networks, including Bidirectional …
transformer neural networks. The family of transformer networks, including Bidirectional …
[HTML][HTML] TransU-Net++: Rethinking attention gated TransU-Net for deforestation map**
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 …
characterizing the drivers and estimating segmentation maps of deforestation have piqued …
Efficient vision transformer for human-centric aiot applications through token tracking assignment
The integration of Artificial Intelligence Internet of Things (AIoT) with consumer electronics
has resulted in enhanced connectivity and intelligence within the 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
The Large Language Model (LLM) has gained significant popularity and is extensively
utilized across various domains. Most LLM deployments occur within cloud data centers …
utilized across various domains. Most LLM deployments occur within cloud data centers …
Towards transferable adversarial attacks on vision transformers for image classification
The deployment of high-performance Vision Transformer (ViT) models has garnered
attention from both industry and academia. However, their vulnerability to adversarial …
attention from both industry and academia. However, their vulnerability to adversarial …
Sketch-Based Adaptive Communication Optimization in Federated Learning
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 …
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 …
significant mortality among the elderly worldwide. Nevertheless, early and accurate …
Seed feature maps-based cnn models for leo satellite remote sensing services
Deploying high-performance convolutional neural network (CNN) models on low-earth orbit
(LEO) satellites for rapid remote sensing image processing has attracted significant interest …
(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 …
broad deployment of edge devices, which provides opportunities to develop and apply …
A Resource-Efficient Multiple Recognition Services Framework for IoT Devices
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 …
to provide diverse recognition services has received increasing attention. Due to the limited …