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# FedKD | ||
Codes for FedKD | ||
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1. Environment Requirements | ||
* Ubuntu 16.04 | ||
* Anaconda with Python 3.6.9 | ||
* CUDA 10.0 | ||
* JAVA jdk1.8.0_121 | ||
* Hadoop 2.9.2-SNAPSHOT | ||
* Horovod 0.19.5 | ||
Note: The complete python package list of our environment is included in the requirements.txt. | ||
The installation may need several minutes if there is no environmental conflicts. | ||
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2. Hardware requirements | ||
Needs a server with at least one Tesla V100 GPU. | ||
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3. Training and Testing | ||
* Download datasets and pretrained language models from their original sources | ||
* Change the path names and data file names. If you have K GPUs, need to split the entire training data into K folds. | ||
* Execute "sh run.sh" | ||
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Note: The logs at the training stage will show the training loss and accuracy. Logs at the test stage will show the test results. The sample codes usually run for a few minutes. | ||
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