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HengZhang d236ba5eae Fix some bugs can not run 2024-11-21 13:14:48 +08:00
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configs The origin version of FederatedScope 2024-11-21 11:25:24 +08:00
data The origin version of FederatedScope 2024-11-21 11:25:24 +08:00
loss Fix some bugs can not run 2024-11-21 13:14:48 +08:00
metrics The origin version of FederatedScope 2024-11-21 11:25:24 +08:00
model The origin version of FederatedScope 2024-11-21 11:25:24 +08:00
optimizer The origin version of FederatedScope 2024-11-21 11:25:24 +08:00
scheduler The origin version of FederatedScope 2024-11-21 11:25:24 +08:00
splitter The origin version of FederatedScope 2024-11-21 11:25:24 +08:00
trainer The origin version of FederatedScope 2024-11-21 11:25:24 +08:00
worker The origin version of FederatedScope 2024-11-21 11:25:24 +08:00
README.md The origin version of FederatedScope 2024-11-21 11:25:24 +08:00
__init__.py The origin version of FederatedScope 2024-11-21 11:25:24 +08:00

README.md

Register

In addition to the rich collection of datasets, models, evaluation metrics, etc., FederatedScope (FS) also allows users to create their own ingredients or introduce more customized modules to FS. Inspired by GraphGym, we provide register mechanism to help integrating your own components into the FS-based federated learning workflow, including: