Comments (1)
Thank you for your question. We have revised run.sh. Please refer to the latest version. Please utilize the same splits of data and the same environment for re-implementations. This open-source library did not exist when we performed experiments on MetaFed. Therefore, there might be some differences in results due to different environments, data splits, and some other factors.
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Related Issues (20)
- When will the code be updated? HOT 2
- 如何配置client数量 HOT 1
- Where is code about "FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning" HOT 3
- 关于metaFed的一点问题 HOT 2
- About the threshold value HOT 5
- 关于Train val splits and h5py files pre-read文件夹的使用 HOT 3
- runing error, there is no dataset file “xdata.npy,ydata.npy”
- 在FedAP中,获得预训练模型的过程中是否存在数据隐私问题? HOT 2
- How long was the model trained in total, including the pre-training time before the clip was sent to the clients HOT 2
- changing partition data way HOT 3
- 关于non_iid_alpha这个参数的意义 HOT 2
- Bug in FedClip HOT 1
- Thank you for your work. You mentioned the results of Fedavg and FedProx on CLIP in your Fedclip paper. I would be very grateful if you could provide the code for this part
- The dataset cannot be downloaded HOT 3
- Fedavg algorithm in CLIP settings
- About method getallfea() in models HOT 1
- cannot download the dataset HOT 2
- Did you use multi-thread code? HOT 2
- 大佬,请问我想使用自己生成的mnist-m数据集(是一堆28*28的图片)进行训练的话,应该如何修改代码呢,非常感谢您的回答[爱] HOT 1
- Why does each federation have a dataset? HOT 3
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