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Kasliwal17 committed May 19, 2023
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28 changes: 12 additions & 16 deletions README.md
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## Supported Devices

Feder has been extensively tested on and works with the following devices:
FedERA has been extensively tested on and works with the following devices:

* Intel CPUs
* Nvidia GPUs
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│ | ├── server
│ | ├── verification
│ └── start_server
├── test
| ├── misc
│ ├── test_algorithms
| ├── test_datasets
│ ├── test_models
│ ├── test_modules
│ ├── test_results
│ └── test_scalability
└── tutorials
├── Code_Carbon_Tutorial.ipynb
└── ...
└── test
├── misc
├── test_algorithms
├── test_datasets
├── test_models
├── test_modules
├── test_results
└── test_scalability
```

## The framework is be composed of 4 modules, each module building upon the last:
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Various unit tests are available in the `test` directory. To run any tests, run the following command from the root directory:

```
cd test
python test_algorithms.py
python -m test/bench/test_algorithms.py
```

## Federated Learning Algorithms
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<img width="40%" alt="" src="media/accuracy/Accuracy.png" >
</div>

## References
<!-- ## References
<a id="1">[1]</a> Schmidt, V., Goyal, K., Joshi, A., Feld, B., Conell, L., Laskaris, N., Blank, D., Wilson, J., Friedler, S., & Luccioni, S. (2021). CodeCarbon: Estimate and Track Carbon Emissions from Machine Learning Computing. https://doi.org/10.5281/zenodo.4658424
<a id="2">[2]</a>
<a id="2">[2]</a> -->

## Contact

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