On Monetizing Personal Wearable Devices Data:A Blockchain-based Marketplace for Data Crowdsourcing and Federated Machine Learning in Healthcare  

作　　者：Mohamed Emish Hari Kishore Chaparala Zeyad Kelani Sean D.Young 

机构地区：[1]Department of Informatics,University of California,Irvine,92697,United States of America [2]Department of Political Science,Faculty of Economics and Political Science Cairo University,Egypt [3]Department of Emergency Medicine,University of California,Irvine,92697,United States of America

出　　处：《Artificial Intelligence Advances》2022年第2期8-16,共9页人工智能进展（英文）

摘　　要：Machine learning advancements in healthcare have made data collected through smartphones and wearable devices a vital source of public health and medical insights.While wearable device data help to monitor,detect,and predict diseases and health conditions,some data owners hesitate to share such sensitive data with companies or researchers due to privacy concerns.Moreover,wearable devices have been recently available as commercial products;thus large,diverse,and representative datasets are not available to most researchers.In this article,the authors propose an open marketplace where wearable device users securely monetize their wearable device records by sharing data with consumers(e.g.,researchers)to make wearable device data more available to healthcare researchers.To secure the data transactions in a privacy-preserving manner,the authors use a decentralized approach using Blockchain and Non-Fungible Tokens(NFTs).To ensure data originality and integrity with secure validation,the marketplace uses Trusted Execution Environments(TEE)in wearable devices to verify the correctness of health data.The marketplace also allows researchers to train models using Federated Learning with a TEE-backed secure aggregation of data users may not be willing to share.To ensure user participation,we model incentive mechanisms for the Federated Learning-based and anonymized data-sharing approaches using NFTs.The authors also propose using payment channels and batching to reduce smart contact gas fees and optimize user profits.If widely adopted,it’s believed that TEE and Blockchain-based incentives will promote the ethical use of machine learning with validated wearable device data in healthcare and improve user participation due to incentives.

关 键 词：Wearable devices Data integrity Data validation Federated learning Blockchain Trusted execution environment Health informatics Healthcare data collection Data monetization 

分 类 号：P20[天文地球—测绘科学与技术]