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Does Pytorch-Lightning support the task of federated learning? If so, any example provided? Thanks!
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Hi, I am trying to implement a Federated Learning architecture with privacy preserving model using CrypTen.
Initially the weights are updated into the model using: `global_model.load_state_dict(glob…
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## 🚀 Feature
Allow specification of the gradient clipping norm_type, which by default is euclidean and fixed.
### Motivation
We are using pytorch lightning to increase training performance in t…
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If there is no demanding preference for tensorflow or pytorch, let's figure out which one is easiest to code in.
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Currently, the distributed package needs each node to run over the same code at the same time and then the progress group will be created by init_progress_group() function. While waiting for other nod…
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## Question
What mechanics providing **Differential Privacy (DP)** are implemented and how can you access them?
**EDIT** by @LaRiffle
- Opacus (formerly pytorch-dp) : [See blogpost](https://blog…
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Hello I am currently researching the FedL field for my thesis and was trying to understand the PySyft framework.
I was looking for some tutorials on how to use PySyft with PyTorch in order to do Fede…
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windows 10
python 3.7.3
pytorch=1.1.0
pysyft=0.1.15a1
```
def plot_federated_graphs(diagnosis_title, losses, accuracies):
for i in range(n_hospitals):
plt.plot(losses[i], label=…
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## 🐛 Bug
I am running Pytorch Lightning in a federated learning setting. Therefore I have several models and I need to instantiate a Trainer object for one model multiple times. Every time I do that …
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I run this code
https://github.com/jckuri/BladderDataset/blob/master/Bladder%20Dataset.ipynb
### **Test Configuration:**
PyTorch 1.7.1
pysyft 0.1.15a1
### Failure Information
```
/usr/loc…