[A review on intelligent auxiliary diagnosis methods based on electrocardiograms for myocardial infarction]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2023 Han C +5 more
europepmc +1 more source
Research on Data Sharing of Federated Semi-Supervised Learning with Non-IID [PDF]
Federated Learning (FL) is a distributed machine-learning method that protects the privacy and security of local data by training a shared model on decentralized devices. Typically, FL is performed when all data are labeled.
GU Yonggen, GAO Lingxuan, WU Xiaohong, TAO Jie
core +1 more source
Study on multi-satellite cooperative spectrum cognitive method integrating Stackelberg game and federated learning [PDF]
To solve the problem of the weak spectrum-cognitive ability caused by monitoring angle, direction resolution, limited processing ability and peak power for a low-earth-orbit (LEO) satellite, a multi-satellite cooperative spectrum cognitive method ...
Gengxin ZHANG +3 more
core +1 more source
Gradient purification federated adaptive learning algorithm for Byzantine attack resistance [PDF]
In the context of industrial big data, data security and privacy are key challenges. Traditional data-sharing and model-training methods struggle against risks like Byzantine and poisoning attacks, as federated learning typically assumes all participants
LI Zhongmei +3 more
core +1 more source
[Research progress on medical image dataset expansion methods]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2023 Chen Y +7 more
europepmc +1 more source
Secure Byzantine resilient federated learning based on multi-party computation [PDF]
To address issues such as gradient privacy protection, server inference attacks, and low accuracy caused by client data poisoning in federated learning, a secure Byzantine resilient federated learning scheme based on multi-party computation was proposed,
GAO Hongfeng, HUANG Hao, TIAN Youliang
core +1 more source
[CT and MRI fusion based on generative adversarial network and convolutional neural networks under image enhancement]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2023 Liu Y +11 more
europepmc +1 more source
Survey on data heterogeneity problems and personalization based solutions of federated learning in Internet of vehicles [PDF]
In Internet of vehicles (IoV) scenario, there was a massive amount of non-independent and identically distributed data among devices, leading to data heterogeneity problems of federated learning (FL).
GUI Guan, LIN Wanru, LIU Miao, WANG Qin
core +1 more source
[Guiding opinions on clinical application of OTO'VIEW technology]. [PDF]
Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi, 2022 Hou Z, Ma X, Wang F.
europepmc +1 more source
Tracking public opinion about online education over COVID-19 in China. [PDF]
Educ Technol Res Dev, 2022 Zhou M, Mou H.
europepmc +1 more source