166-mh-pflid-model-heterogeneous-personalized-federated-learning-via-injection-and-distillation-for
Science Score: 13.0%
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○CITATION.cff file
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✓codemeta.json file
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○Scientific vocabulary similarity
Low similarity (1.9%) to scientific vocabulary
Last synced: 10 months ago
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- Host: GitHub
- Owner: SZU-AdvTech-2024
- Default Branch: main
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Created over 1 year ago
· Last pushed over 1 year ago
Metadata Files
Citation
https://github.com/SZU-AdvTech-2024/166-MH-pFLID-Model-Heterogeneous-personalized-Federated-Learning-via-Injection-and-Distillation-for/blob/main/
**** python correspond.py --path fold_path_name --r 10 ~~~ --path --r: ~~~ ~~~ python correspond.py --path test --r 1 ~~~ \models **** ~~~ python model_test.py --model_path fold_path_name --d data_path --path:4 - client1.pt - client2.pt - client3.pt - client4.pt --d :, --save_path: ~~~ ~~~ python model_test.py --path models --d breast_dataset\\breast ~~~
Owner
- Name: SZU-AdvTech-2024
- Login: SZU-AdvTech-2024
- Kind: organization
- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2024
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