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# Copyright 2023 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Configs for differential privacy."""
import dataclasses
from official.modeling.hyperparams import base_config
@dataclasses.dataclass
class DifferentialPrivacyConfig(base_config.Config):
# Applied to the gradients
# Setting to a large number so nothing is clipped.
clipping_norm: float = 100000000.0 # 10^9
noise_multiplier: float = 0.0
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