GIT adaptively structures a generative model to invert backpropagation, reconstructing training data from leaked gradients more accurately and robustly than existing methods.
Distributed learning: developing a predictive model based on data from multiple hospitals without data leaving the hospital–a real life proof of concept
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Gradient Inversion Transcript: Leveraging Robust Generative Priors to Reconstruct Training Data from Gradient Leakage
GIT adaptively structures a generative model to invert backpropagation, reconstructing training data from leaked gradients more accurately and robustly than existing methods.