International Conference on Tools with Artificial Intelligence : [proceedings]. International Conference on Tools for Artificial Intelligence最新文献

筛选

英文中文

On Outsourcing Artificial Neural Network Learning of Privacy-Sensitive Medical Data to the Cloud. 将隐私敏感医疗数据的人工神经网络学习外包到云端。

International Conference on Tools with Artificial Intelligence : [proceedings]. International Conference on Tools for Artificial Intelligence Pub Date : 2021-11-01 Epub Date: 2021-12-21 DOI: 10.1109/ictai52525.2021.00062

Dimitrios Melissourgos, Hanzhi Gao, Chaoyi Ma, Shigang Chen, Samuel S Wu

{"title":"On Outsourcing Artificial Neural Network Learning of Privacy-Sensitive Medical Data to the Cloud.","authors":"Dimitrios Melissourgos, Hanzhi Gao, Chaoyi Ma, Shigang Chen, Samuel S Wu","doi":"10.1109/ictai52525.2021.00062","DOIUrl":"10.1109/ictai52525.2021.00062","url":null,"abstract":"<p><p>Machine learning and artificial neural networks (ANNs) have been at the forefront of medical research in the last few years. It is well known that ANNs benefit from big data and the collection of the data is often decentralized, meaning that it is stored in different computer systems. There is a practical need to bring the distributed data together with the purpose of training a more accurate ANN. However, the privacy concern prevents medical institutes from sharing patient data freely. Federated learning and multi-party computation have been proposed to address this concern. However, they require the medical data collectors to participate in the deep-learning computations of the data users, which is inconvenient or even infeasible in practice. In this paper, we propose to use matrix masking for privacy protection of patient data. It allows the data collectors to outsource privacy-sensitive medical data to the cloud in a masked form, and allows the data users to outsource deep learning to the cloud as well, where the ANN models can be trained directly from the masked data. Our experimental results on deep-learning models for diagnosis of Alzheimer's disease and Parkinson's disease show that the diagnosis accuracy of the models trained from the masked data is similar to that of the models from the original patient data.</p>","PeriodicalId":93447,"journal":{"name":"International Conference on Tools with Artificial Intelligence : [proceedings]. International Conference on Tools for Artificial Intelligence","volume":"2021 ","pages":"381-385"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796752/pdf/nihms-1751962.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39871363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Fuzzy computational reasoning and neural networks 模糊计算推理与神经网络

International Conference on Tools with Artificial Intelligence : [proceedings]. International Conference on Tools for Artificial Intelligence Pub Date : 1990-01-01 DOI: 10.1109/TAI.1990.130424

Xingui He

引用次数: 1

A metalanguage to express human guidance for program transformation 一种元语言，用于表达人类对程序转换的指导

International Conference on Tools with Artificial Intelligence : [proceedings]. International Conference on Tools for Artificial Intelligence Pub Date : 1989-01-01 DOI: 10.1109/TAI.1989.65386

L. Jin, Hong Zhu

引用次数: 0