Comments (4)
Can you fill in the details from the bug form? In particular, the environment info details, which I've reproduced below:
Environment (please complete the following information):
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- Python package versions (e.g., TensorFlow Federated, TensorFlow):
- Python version:
- Bazel version (if building from source):
- CUDA/cuDNN version:
- What TensorFlow Federated execution stack are you using?
from federated.
Can you fill in the details from the bug form? In particular, the environment info details, which I've reproduced below:
Environment (please complete the following information):
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- Python package versions (e.g., TensorFlow Federated, TensorFlow):
- Python version:
- Bazel version (if building from source):
- CUDA/cuDNN version:
- What TensorFlow Federated execution stack are you using?
excuse me, it is possible to use tensorflow-federated v0.63.0 on windows 11?
from federated.
Unfortunately no, we do not support Windows at this time.
from federated.
Unfortunately no, we do not support Windows at this time.
thinks
from federated.
Related Issues (20)
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- Documentation Issue - build_fed_kmeans HOT 1
- OperatorNotAllowedInGraphError Traceback (most recent call last)
- TFF using model resnet,the val accuracy has always been a result of random guessing
- AttributeError: module 'numpy' has no attribute '_no_nep50_warning' when importing TensorFlow Federated HOT 6
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- Stuck at learning_process.initialize() and tff.federated_computation(lambda: 'Hello, World!')() HOT 1
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- Exploding memory while training federated model on FLAIR Dataset HOT 3
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- perform cross-silo federated learning by TFF HOT 2
- Installtion failed HOT 5
- Keras 3 and TF 16.1 support HOT 13
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from federated.