# Federated-Grade-Prediction
利用联邦学习进行高校学生成绩预测研究，并使用Streamlit搭建了简易的可视化平台
可点击网址进入：https://share.streamlit.io/cathynwpu/fl/main/main_fedrep.py
## Install
```
pip install -r requirements.txt
```
## Usage
```
streamlit run main_fedrep.py
```
## Contributing
PRs accepted.
基于python+streamlit联邦学习进行高校学生成绩预测研究python源码+项目说明+模型+数据.zip
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2024-04-30
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基于python+streamlit联邦学习进行高校学生成绩预测研究python源码+项目说明+模型+数据.zip （55个子文件） 
code 
main_local.py 5KB main_scaffold.py 9KB data data-JSJfb1.csv 7.67MB 样本数据.csv 216B save accs_fedrep_mnist2.csv 63B accs_fedrep_mnist3.csv 97B losses_fedrep_mnist3.csv 103B losses_fedrep_mnist5.csv 152B accs_fedrep_mnist5.csv 148B
confusion_matrix.png 274KB main_ditto.py 7KB main_l2gd.py 7KB utils __init__.py 64B options.py 4KB sampling.py 3KB train_utils.py 7KB __pycache__ sampling.cpython-39.pyc 2KB __init__.cpython-39.pyc 150B train_utils.cpython-39.pyc 4KB sampling.cpython-38.pyc 2KB train_utils.cpython-38.pyc 4KB options.cpython-39.pyc 3KB __init__.cpython-38.pyc 150B options.cpython-38.pyc 3KB comm_helpers.py 2KB main_fedrep.py 17KB FedProx.py 5KB models __init__.py 64B language_utils.py 4KB Nets.py 9KB __pycache__ Update.cpython-36.pyc 17KB test.cpython-38.pyc 4KB language_utils.cpython-38.pyc 5KB test.cpython-37.pyc 4KB language_utils.cpython-39.pyc 5KB Update.cpython-37.pyc 17KB Nets.cpython-37.pyc 7KB language_utils.cpython-37.pyc 5KB Update.cpython-39.pyc 18KB __init__.cpython-39.pyc 151B test.cpython-36.pyc 4KB Update.cpython-38.pyc 16KB test.cpython-39.pyc 6KB Nets.cpython-38.pyc 7KB __init__.cpython-37.pyc 140B language_utils.cpython-36.pyc 5KB __init__.cpython-36.pyc 136B __init__.cpython-38.pyc 151B Nets.cpython-39.pyc 8KB Nets.cpython-36.pyc 8KB test.py 8KB Update.py 39KB README.md 378B main_mtl.py 7KB main_apfl.py 6KB资源评论
