The sharing of Electronic Medical records (EMRs) has great positive significance for research of disease and doctors' diagnosis. However, patients' EMRs are usually distributed in the databases of mul...
区块链联邦学习
Blockchain and Federated Learing
联邦学习是一种分布式机器学习技术，其核心思想是通过在多个拥有本地数据的数据源之间进行分布式模型训练，是隐私计算的核心技术，本专题主要收录区块链和联邦学习技术相结合的研究，文献来源于Web of Science核心合集，检索关键词为“blockchain" AND "federated learning"。专题负责人：石东瑛（1366510045@qq.com)，应吉吉（1344573003@qq.com）,欢迎对本领域感兴趣的老师同学沟通交流。
发表时间
收录时间
-
共187条结果
Currently, most of the personal health data (PHD) are managed and stored separately by individual medical institutions. When these data need to be shared, they must be transferred to a trusted managem...
With the dramatically increasing deployment of IoT (Internet-of-Things) and communication, data has always been a major priority to achieve intelligent healthcare in a smart city. For the modern envir...
As an emerging distributed machine learning (ML) method, federated learning (FL) can protect data privacy through collaborative learning of artificial intelligence (AI) models across a large number of...
Aiming at the problem of privacy security of parking data and low generalization performance of parking flow prediction model, a federated parking flow prediction method based on blockchain and IPFS i...
