I am new to machine learning and was trying out the "federated learning for image classification" code by Tensorflow (https://www.tensorflow.org/federated/tutorials/federated_learning_for_image_classification). I ran the code on Google Colab and did not modify anything.
#@test {"skip": true}
# tensorflow_federated_nightly also bring in tf_nightly, which
# can causes a duplicate tensorboard install, leading to errors.
!pip uninstall --yes tensorboard tb-nightly
!pip install --quiet --upgrade tensorflow-federated-nightly
!pip install --quiet --upgrade nest-asyncio
!pip install --quiet --upgrade tb-nightly # or tensorboard, but not both
import nest_asyncio
nest_asyncio.apply()
%load_ext tensorboard
The above works well. (no errors) But when it comes to the below:
import collections
import numpy as np
import tensorflow as tf
import tensorflow_federated as tff
np.random.seed(0)
tff.federated_computation(lambda: 'Hello, World!')()
I got an error on the import tensorflow_federated as tff line:
AttributeError: module 'tensorflow_privacy' has no attribute 'DPQuery'
I've searched for solutions like pip install -U TensorFlow-privacy but none works.
Please help. Thanks in advance!
