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Nicolas Papernot 2019-08-09 17:18:31 -07:00 committed by GitHub
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examples/differentially_private_sgd.py
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@ -12,7 +12,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
r"""JAX efficiently trains a differentially private conv net on MNIST.
"""JAX efficiently trains a differentially private conv net on MNIST.
This script contains a JAX implementation of Differentially Private Stochastic
Gradient Descent (https://arxiv.org/abs/1607.00133). DPSGD requires clipping