New IEEE Standard - Active - Draft.
Guidance for improving the security auditability and traceability of blockchain-based federated machine Learning is provided in this document. Blockchain-based federated machine learning helps data owners, producers, consumers and collaborators to realize multi-party secure computing, while meeting applicable interaction, decentralization, safety, reliability and robustness guidelines. Blockchain-based Federated Machine Learning can improve the privacy of data owners, producers, consumers and collaborators, and enable those entities to give permission for functions including use of data, withdrawing use of data, and potentially sell data under specified conditions.
| File Size : | 1
file
, 2.3 MB |
| ISBN(s) : | 9798855713299 |
| Note : | This product is unavailable in Russia, Belarus |
| Number of Pages : | 38 |
| Product Code(s) : | STDUD27389 |
