Confidential Federated Learning�Protocols and Attestation
Abstract
Surveying TEE-based federated learning frameworks covering attestation flows, performance trade-offs, and deployment maturity.
Cite this article
Grimaldi, N., Fiorini, K., & Ivanov, E. (2023). Confidential Federated Learning�Protocols and Attestation. Research Explorations in Global Knowledge & Technology (REGKT), 2 (8). Retrieved from https://regkt.com/article.php?id=437&slug=review-confidential-federated-learning-protocols-attestation