Federated distillation for medical image classification: Towards trustworthy computer-aided diagnosis

S Ren, Y Hu, S Chen, G Wang - arXiv preprint arXiv:2407.02261, 2024 - arxiv.org
Medical image classification plays a crucial role in computer-aided clinical diagnosis. While
deep learning techniques have significantly enhanced efficiency and reduced costs, the …

Federated Foundation Models on Heterogeneous Time Series

S Chen, G Long, J Jiang, C Zhang - arXiv preprint arXiv:2412.08906, 2024 - arxiv.org
Training a general-purpose time series foundation models with robust generalization
capabilities across diverse applications from scratch is still an open challenge. Efforts are …

Advances in intelligent computing approaches for solving problems related to photonic crystal fibers

D Yang, Y Zhao, H Liu, Y Li, C Tang, S Li… - Optical and Quantum …, 2025 - Springer
Photonic crystal fiber (PCF) has shown a promising application in various fields of modern
optics due to its excellent transmission characteristics. However, conventional numerical …

Less is more: Ensemble Learning for Retinal Disease Recognition Under Limited Resources

J Wang, H Peng, S Chen, S Ren - arXiv preprint arXiv:2402.09747, 2024 - arxiv.org
Retinal optical coherence tomography (OCT) images provide crucial insights into the health
of the posterior ocular segment. Therefore, the advancement of automated image analysis …

Terahertz sensing through the lens of the Kalman filter: a bibliometric exploration

K Obaideen, M AlShabi… - Sensing for Agriculture and …, 2024 - spiedigitallibrary.org
The Terahertz (THz) spectrum, situated between microwave and infrared frequencies, is
utilized for applications such as imaging and chemical analysis. This project aims to …