To solve the data silos problem in medical data sharing,a medical data sharing and privacy protection scheme based on multi-layer blockchain and federated learning was proposed.The differential privacy technology was used to add noise to the local model parameters of each medical institution to solve the problem of parameter leakage.The global model aggregated and uploaded the blockchain by writing smart contracts to avoid over-reliance on the central aggregation server.The experiment and discussion on adding differential privacy noise in different positions were carried out.Experimental results show that the scheme can protect the privacy of data and achieve high privacy while decentralization,and the appropriate location for adding differential privacy noise is obtained.
关键词
联邦学习/多层区块链/医疗数据共享/差分隐私/聚合/智能合约/隐私保护
Key words
federated learning/multi-layer blockchain/healthcare data sharing/differential privacy/aggregation/smart con-tracts/privacy protection
维普
万方数据