تقرير
A blockchain-orchestrated Federated Learning architecture for healthcare consortia
| العنوان: | A blockchain-orchestrated Federated Learning architecture for healthcare consortia |
|---|---|
| المؤلفون: | Passerat-Palmbach, Jonathan, Farnan, Tyler, Miller, Robert, Gross, Marielle S., Flannery, Heather Leigh, Gleim, Bill |
| سنة النشر: | 2019 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computers and Society, Computer Science - Cryptography and Security, Computer Science - Machine Learning |
| الوصف: | We propose a novel architecture for federated learning within healthcare consortia. At the heart of the solution is a unique integration of privacy preserving technologies, built upon native enterprise blockchain components available in the Ethereum ecosystem. We show how the specific characteristics and challenges of healthcare consortia informed our design choices, notably the conception of a new Secure Aggregation protocol assembled with a protected hardware component and an encryption toolkit native to Ethereum. Our architecture also brings in a privacy preserving audit trail that logs events in the network without revealing identities. |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/1910.12603 |
| رقم الأكسشن: | edsarx.1910.12603 |
| قاعدة البيانات: | arXiv |
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