Search Results for author:
Found 1 papers, 0 papers with code
Training Differentially Private Models with Secure Multiparty Computation
We address the problem of learning a machine learning model from training data that originates at multiple data owners while providing formal privacy guarantees regarding the protection of each owner's data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
