Integration of Federated Learning and Blockchain in Healthcare: A Tutorial

arXiv:2404.10092v1 Announce Type: new
Abstract: Wearable devices and medical sensors revolutionize health monitoring, raising concerns about data privacy in ML for healthcare. This tutorial explores FL and BC integration, offering a secure and privacy-preserving approach to healthcare analytics. FL enables decentralized model training on local devices at healthcare institutions, keeping patient data localized. This facilitates collaborative model development without compromising privacy. However, FL introduces vulnerabilities. BC, with its tamper-proof ledger and smart contracts, provides a robust framework for secure collaborative …

analytics arxiv blockchain cs.cr data data privacy decentralized devices federated federated learning health healthcare institutions integration local medical model training monitoring privacy sensors training tutorial wearable wearable devices