Related Issues (20)
- Add Flower Baseline: FedPFT HOT 4
- Dynamic timeout settings
- Running flw baseline fedAVG_MNIST with recommended parameters on README gives accuracy better than the paper "best result" HOT 1
- Facing issue with Flower Simulation with ResNet18 and MNIST dataset HOT 3
- Out of Memory while learning on Cifar with 100 clients HOT 1
- macOS: pip install flwr[simulation] uninstalls flwr 1.8.0 and installs 0.16.0 HOT 6
- RayActorClientProxy.get_parameters() missing 1 required positional argument: 'group_id'
- How to let the client train using the initial model provided by the server?
- How to get consistent order of spawned clients between multiple runs with Flower's simulation?
- flutter support HOT 1
- how to show the full args in task page? HOT 1
- Perform strategy in the sampled clients and its subset at the same time
- Method Doesn't Exist HOT 3
- ConnectionError: Couldn't reach 'cifar10' on the Hub (ConnectionError)
- How can I disable federated evaluation and use only centralized evaluation? HOT 1
- Question about the type of parameter in the parameter conduction process of my model
- `num_cpus` for ray backend not respected in `run_simulation` HOT 7
- How to solve hydra. errors Error reported for OverrideParseException: LexerNoViableAltException: \ HOT 3
- Could not run FedPer Baseline HOT 8
- Possible to Dynamically Switch Federated Learning Algorithms Based on Performance? HOT 1
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