Comments (1)
Valid point. Thanks for letting us know! I just merged #15 which renames weight
in both BackwardPassOutput
and ClientTrainerState
to num_examples
instead. We chose not to use batch_size
because the definition is a bit too restrictive.
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Related Issues (17)
- Centralized (server-only) algorithm HOT 1
- Implementing SCAFFOLD HOT 2
- Feature request: Convert standard dataset into a federated dataset HOT 5
- PatentMime^
- Full EMNIST example does not exhibit parallelization HOT 2
- FedJax depends on TensorFlow Federated? HOT 7
- How to create a validation dataset? HOT 4
- Problem of Quick Start in Readme.md HOT 2
- Support for haiku models with non-trainable state HOT 2
- Support for gldv2 and inaturalist datasets HOT 7
- Support for manually modifying client/server learning rate HOT 1
- CIFAR 100 Questions HOT 5
- Implement standard CIFAR-100 model in fedjax.models.cifar100 HOT 1
- Add support for stateful clients HOT 8
- Error of the Stackoverflow Tokernizer example HOT 1
- External contributions? HOT 2
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