Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification

arXiv:2404.15585v1 Announce Type: new
Abstract: The application of deep learning techniques to medical problems has garnered widespread research interest in recent years, such as applying convolutional neural networks to medical image classification tasks. However, data in the medical field is often highly private, preventing different hospitals from sharing data to train an accurate model. Federated learning, as a privacy-preserving machine learning architecture, has shown promising performance in balancing data privacy and model utility by keeping private data on the client's …

abstract application arxiv brain classification convolutional neural networks cs.lg data deep learning deep learning techniques eess.iv hospitals however image medical medical field networks neural networks optimization research sharing data storm tasks type