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License: Apache License 2.0
Federated posterior averaging implemented in JAX
License: Apache License 2.0
Hello, thanks for your great contribution to expand FL to Bayesian filed.
I'm not familiar with the jax frame of google. When I tried to run the notebook on the colab, i met this error:
"No module named 'jax.api"
Seems that the jax.api has been removed.
ModuleNotFoundError Traceback (most recent call last)
[<ipython-input-11-abcd58547ee0>](https://localhost:8080/#) in <module>()
----> 1 from federated.objectives.quadratic import *
2 from federated.learning.algorithms import *
3 from federated.inference.moments import *
4 from federated.inference.optimization import *
5 from federated.inference.sampling import *
1 frames
[/content/federated/objectives/quadratic.py](https://localhost:8080/#) in <module>()
21 import jax.numpy as jnp
22 import numpy as np
---> 23 from jax.api import jit
24 from sklearn import datasets
25
ModuleNotFoundError: No module named 'jax.api'
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