This paper proposes a distributed deep learning framework for privacy-preserving medical data training. In order to avoid patients' data leakage in medical platforms, the hidden layers in the deep learning framework are separated and where the first layer is kept in platform and others layers are kept in a centralized server. Whereas keeping the original patients' data in local platforms maintain their privacy, utilizing the server for subsequent layers improves learning performance by using all data from each platform during training.
A Systematic Review of Low-Rank and Local Low-Rank Matrix Approximation in Big Data Medical Imaging
Rhodes University（罗德斯大学）；Osnabrück University（奥斯纳布吕克大学）；International Centre for Radio Astronomy Research (ICRAR)（国际射电天文研究中心）；Curtin University（科廷大学）；ARC Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D)（ARC全天天体物理学卓越中心（ASTRO 3D））；Curtin Institute of Radio Astronomy（科廷射电天文研究所）
A Disease Diagnosis and Treatment Recommendation System Based on Big Data Mining and Cloud Computing
Hunan University（湖南大学）；National Supercomputing Center in Changsha（国家超级计算长沙中心）；Comsats Institute of Information Technology（COMSATS信息技术学院）；The second affiliated hospital of Xi’an Jiaotong University（西安交通大学第二附属医院）；State University of New York（纽约州立大学）
Classifying histograms of medical data using information geometry of beta distributions
Université Paris 1 Panthéon Sorbonne（巴黎第一大学）；Université Côte d’Azur（蔚蓝海岸大学）；Inria Epione（法国国家信息与自动化研究所Epione团队）；Ecole Nationale de l’Aviation Civile（法国民航大学）；Toulouse NeuroImaging Center（图卢兹神经影像中心）；Université de Toulouse（图卢兹大学）
RadImageGAN -- A Multi-modal Dataset-Scale Generative AI for Medical Imaging
BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai（西奈山伊坎医学院生物医学工程与影像研究所）；NVIDIA（英伟达公司）；East River Medical Imaging（东河医学影像机构）；Cornell Medicine（康奈尔医学院）
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach
University of Virginia（弗吉尼亚大学）；University of California, Los Angeles (UCLA)（加利福尼亚大学洛杉矶分校）；The Aga Khan University（阿迦汗大学）；University of Zambia School of Medicine（赞比亚大学医学院）；Queen Mary University of London（伦敦玛丽女王大学）
Differential privacy representation geometry for medical image analysis
Lab for AI in Medicine, RWTH Aachen University, Aachen, Germany（医学人工智能实验室，亚琛RWTH大学，亚琛，德国）；Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany（诊断与介入放射学部门，RWTH亚琛大学医院，亚琛，德国）；INDA Institute, RWTH Aachen University, Aachen, Germany（INDA研究所，亚琛RWTH大学，亚琛，德国）
