首页>
外国专利>
TRAINING A MACHINE LEARNING MODEL IN A DISTRIBUTED PRIVACY-PRESERVING ENVIRONMENT
TRAINING A MACHINE LEARNING MODEL IN A DISTRIBUTED PRIVACY-PRESERVING ENVIRONMENT
展开▼
机译:在分布式隐私保留环境中训练机器学习模型
展开▼
页面导航
摘要
著录项
相似文献
摘要
A computer-implemented method applies labels to unlabeled public data for use by a global model. One or more processors train one or more local machine learning models with local private data to create one or more trained models. Processor(s) generate a label for each of the local private data using the one or more trained models, where each label describes the local private data, and then apply the label to unlabeled public data to create labeled public data. One or more processors then input the labeled public data into a global model that uses the public data.
展开▼