could we support Gaussian/Laplace Differential Privacy on homoxgb histgram exchange?

[EasonFeng5870]

hi there.
homo-sbt is using dh for random number generator seed. but there is paper <> show that gradients reveal some properties of the training data, also show the Defense Strategies, like Noisy Gradients or Gradient Compression and Sparsification or cryptography.

Is there a way we could support them?