FederatedScope
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alibaba
An easy-to-use federated learning platform
**Describe the bug** when run command: python federatedscope/main.py --cfg federatedscope/gfl/baseline/isolated_gin_minibatch_on_cikmcup.yaml --client_cfg federatedscope/gfl/baseline/isolated_gin_minibatch_on_cikmcup_per_client.yaml **yacs error:** AssertionError: `a` (cur type ) must be an instance of **Desktop (please complete the following information):**...
As the title says, including: - invalid path - typos - the reported round in evaluation - add refs for fedscale
As the title says.
as the title says. Please double check the modifications related to MF. Thanks @rayrayraykk @DavdGao
support - using cached data for huggingface datasets; - re-splitting the GLUE versions into custom FL versions
Although FederatedScope provides different kinds of scripts in FederatedScope/scripts/, it is a little hard for users to understand these scripts without some guidance, such as which example is running for...
**Describe the bug** As the title says, the current number of batches and epochs are calculated for each split as follows: ``` ... # Process training data if self.train_data is...
As the title says, since the dataset is loaded before both `fedrunner.run()` and the setup of clients, the `config_per_client.yaml` doesn't work for the dataset, such as different batch size.