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Comprehensive Survey of Model Compression and Speed up for Vision Transformers
Vision Transformers (ViT) have marked a paradigm shift in computer vision, outperforming state-of-the-art models across diverse tasks.
Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection
This paper presents an innovative approach to medical image classification, leveraging Federated Learning (FL) to address the dual challenges of data privacy and efficient disease diagnosis.
Machine learning-based system reliability analysis with Gaussian Process Regression
However, few of them explores the theoretical optimal learning strategy.
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