Skip to content

/ federated

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

35 Open 161 Closed
35 Open 161 Closed
Author
Filter by author
Label
Filter by label
Use alt + click/return to exclude labels.
Projects
Filter by project
Milestones
Filter by milestone
Assignee
Filter by who’s assigned
Sort
Sort by
Newest Oldest Most commented Least commented Recently updated Least recently updated
Most reactions
👍 👎 😄 🎉 😕 ❤️ 🚀 👀
tf.data.Dataset PrefetchDataset Fails When Simulating Training With tff.learning.Model bug
#918 opened Oct 30, 2020 by darien-schettler
Is it possible to have Federated Learning on Cloud-Edge?
#915 opened Oct 14, 2020 by Martiniann
1
TensorBoard errors in Federated Learning for Image Classification tutorial bug
#914 opened Oct 6, 2020 by conwaychriscosmo
@hbmcmahan
1
UnliftableError while upgrading from TFF 0.15.0 to 0.16.0 and later bug
#913 opened Sep 30, 2020 by dpreuveneers
@jkr26
1
federated/tensorflow_federated/python/examples/simple_fedavg/emnist_fedavg_main.py does not run from fresh install bug
#912 opened Sep 28, 2020 by JustoA
@michaelreneer @nightldj
4
Add an assertion maybe cause other problems?
#911 opened Sep 15, 2020 by catdogpandas
Pretrained model: Non-trainable weights seems to be updated during FL training bug
#910 opened Sep 15, 2020 by mirkohin1991
2
"TypeError: Unable to convert a Python object of type numpy.float32 into an `Struct`. Object: 5.0" when running emnist_with_targeted_attack.py bug
#909 opened Sep 15, 2020 by DemoAllan
@jkr26
3
Memory explosion bug
#903 opened Sep 8, 2020 by matech96
3
commutes_with_sum vs decode_before_sum in encoded_mean_process bug
#899 opened Sep 5, 2020 by amitport
2
introduce encoded_aggregation_process enhancement
#898 opened Sep 4, 2020 by amitport
7
`tff.learning.from_keras_model` does not accept subclassed Keras model bug
#897 opened Sep 2, 2020 by hongliny
1
`tff.simulation.datasets.emnist.load_data()` extract(unzip) the dataset every time it runs bug
#896 opened Sep 2, 2020 by hongliny
Unable to interpret an argument of type numpy.ndarray as a type spec.
#893 opened Aug 21, 2020 by elifustundag
@jkr26
1
Use services of type ClusterIP in the example and don't expose on public internet bug
#891 opened Aug 11, 2020 by jlewi
Error when running "bazel run experiments/emnist:train": CUDNN_STATUS_EXECUTION_FAILED bug
#889 opened Aug 4, 2020 by houcharlie
@saugenst
8
Error when running "gans/experiments/emnist:run_experiments" using Bazel: The 'run' command is only supported from within a workspace
#885 opened Jul 30, 2020 by YamengLiu
@saugenst
2
Permutations for Parameters of emnist targeted attack enhancement
#880 opened Jul 20, 2020 by anupamme
@zcharles8
Can't use a custom loss function
#875 opened Jul 2, 2020 by StefanoSetti
@jkr26
7
Memory usage of remote executor service
#871 opened Jun 22, 2020 by dpreuveneers
@cramertj
5
Cannot run emnist_with_targeted_attack bug
#862 opened Jun 2, 2020 by anupamme
@zcharles8
4
I tried to convert my dataset into federated dataset. What is the best way to do so? And, how do I know if the data is federated or not. I used a couple of procedures on stack overflow and obtained the result, however I can't differentiate if the data has been changed to federated or not. bug
#858 opened May 26, 2020 by bibek948
@roselander
2
Training a federated GAN on the Colab GPU hangs due to a DNN Backward Data function launch failure bug
#857 opened May 26, 2020 by sdll
@saugenst
Deploy on multiple machines?
#853 opened May 21, 2020 by meijuanwang
@roselander
3
Using tf.keras.metrics.AUC(multi_label=True) causes crash when calling from_keras_model bug contributions welcome
#849 opened May 17, 2020 by tzapzoor
@ZacharyGarrett
2
ProTip! Type g p on any issue or pull request to go back to the pull request listing page.
You can’t perform that action at this time.