IEEE

Toward Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee

Abstract: Recent years have witnessed a huge demand for artificial intelligence and machine learning applications in wireless edge networks to assist individuals with real-time services. Federated ...
GitHub

Xiaohan-Chen/transfer-learning-fault-diagnosis-pytorch

For further introductions to transfer learning in bearing fault diagnosis, please read our paper. And if you find this repository useful and use it in your works, please cite our paper, thank you~: ...
IEEE

A Survey on Self-Supervised Learning: Algorithms, Applications, and Future Trends

Abstract: Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
bjo.bmj

DeepAdapter: a generalisable algorithm integrating self-supervised learning and unsupervised domain adaptation for robust retinopathy of prematurity screening

2 School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China Aims To develop and validate DeepAdapter, a novel deep learning algorithm that integrates self-supervised learning (SSL) and ...