FedSpecNet
An advanced method that combines federated learning, representation learning, and deep learning is proposed for household energy consumption forecasting.
Install / Use
/learn @Fairy-09/FedSpecNetREADME
🔥 FedSpecNet
An advanced method that combines federated learning, representation learning, and deep learning is proposed for household energy consumption forecasting.
📚 Requirements
Dependent libraries are placed in a file named 'requirements.txt'.
Requirements(Briefly):
python==3.7.8
torch==1.7.1
torchvision==0.8.2
torchaudio==0.7.2
pandas
matplotlib
scikit-learn
📒 Usage
- Run 'Center.py' in Server. Run 'iT_SSAx.py' in Client-x.
- Modify the corresponding 'host' and 'port' code case by case.
🌟 Citation
If you find our repo useful for your research, please consider giving a 🌟 and citing our previous work below, which are the foundation of this work.
under review
🔐 License
The source code is free for research and education use only. Any commercial use should get formal permission first.
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