Open access
Aug 2026
TrustScale ML Verifiable Privacy Preserving Multi Node Training for Robust Model Development
TrustScale ML is proposed, a scalable ML system integrating PoL, which enables the efficient verification of local ML computations, utilizing the CKKS homomorphic encryption scheme for the protection of gradients during distributed model training.
Monisha Rengaraj
· International Journal of Int... · 0 citations