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.ipynb_checkpoints
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d64b80080a
add federated-hierarchical_main.py and update readme
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__pycache__
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d64b80080a
add federated-hierarchical_main.py and update readme
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baseline_main.py
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ea11cd92a5
Update baseline_main.py
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federated-hierarchical_main.py
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d64b80080a
add federated-hierarchical_main.py and update readme
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%!s(int64=4) %!d(string=hai) anos |
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federated-hierarchical_v0_onecluster.ipynb
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d64b80080a
add federated-hierarchical_main.py and update readme
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%!s(int64=4) %!d(string=hai) anos |
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federated-hierarchical_v1_twoclusters.ipynb
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d64b80080a
add federated-hierarchical_main.py and update readme
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%!s(int64=4) %!d(string=hai) anos |
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federated_main-Understanding training.ipynb
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fbe609c11c
change mlp model to 2 hidden layers with 200 units
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federated_main.ipynb
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d1d89f4e6c
fix utils.py get_dataset() cifar10
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federated_main.py
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83c5219a4c
fix error in federated_main.py->idxs=user_groups[c], and implement first hierarchical structure with 2 clusters
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models.py
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fbe609c11c
change mlp model to 2 hidden layers with 200 units
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%!s(int64=4) %!d(string=hai) anos |
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options.py
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d64b80080a
add federated-hierarchical_main.py and update readme
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sampling.py
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ff15a0fc6b
conform to pep8
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update.py
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2b46351813
Added test inference
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utils.py
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d1d89f4e6c
fix utils.py get_dataset() cifar10
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%!s(int64=4) %!d(string=hai) anos |
wesleyjtann
d64b80080a
add federated-hierarchical_main.py and update readme