Comments (1)
Thank you for your report!
FYI, this repository will be changed into new one (i.e., ver 2.0) as soon.
Thank you.
from federated-learning-in-pytorch.
Related Issues (19)
- when num_clients =1000, shards_per_clients=0, and there is a ValueError! HOT 1
- Implemented aggregation is different from the description in McMahan 2016 paper HOT 2
- Set a different number of Clients when using LEAF dataset HOT 1
- AttributeError: 'FedavgServer' object has no attribute 'lr_scheduler' HOT 5
- Type error for `_request()` HOT 2
- Thank you very much for your kind contribution. I am using your FL architecture for my research purposes. But i have a concern: why the accuracy of training with iid datasets is lower than patho and diri dataset? would you explain the reason? in theory the accuracy of training a ML model with iid is expected to have higher accuracy. HOT 14
- Client Multithreading is actually not Working. HOT 5
- About Dirichlet non-iid Partition HOT 3
- Clients won't download server model under the global evaluation HOT 2
- Is there any plan to implement DITTO Algorithm?
- maximum recursion depth exceeded while calling a Python object error HOT 3
- Sent140 Dataset
- 我运行cifar10数据集出现错误,该怎么解决 HOT 1
- AssertionError: Invalid device id HOT 2
- Looking forward to the introduction, clear code on the CIFAR dataset! HOT 2
- The accuracy on Cifar10 may be low. HOT 3
- Datasets location HOT 2
- Instructions to run on separate server/client devices? HOT 5
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