An Evaluation of Non-Contrastive Self-Supervised Learning for Federated Medical Image Analysis
S Chattopadhyay, S Ganguly, S Chaudhury… - arXiv preprint arXiv …, 2023 - arxiv.org
Privacy and annotation bottlenecks are two major issues that profoundly affect the
practicality of machine learning-based medical image analysis. Although significant …
practicality of machine learning-based medical image analysis. Although significant …
An Efficient Federated Convolutional Neural Network Scheme with Differential Privacy
D Zhang, X Chen, J Shi - International Symposium on Emerging …, 2022 - Springer
Federated learning can complete the neural network model training without uploading users'
private data. However, the deep leakage from gradients (DLG) and the compensatory …
private data. However, the deep leakage from gradients (DLG) and the compensatory …