Related Issues (20)
- Problem when running examples/llm-flowertune/main.py HOT 3
- “evaluate_fn” appearance of test results nan issues HOT 1
- After passing the TRAIN function, the model parameters were not updated, resulting in the final evaluation criteria output of the TEST function being the same as the initial stage HOT 4
- Fatal Python error: Aborted HOT 1
- How to Save Client Models and results After Each Round in Flower HOT 4
- How can the client send custom content messages to the server? HOT 3
- Division error in function “divide_dataset” HOT 2
- flwr_datasets with custom/local dataset HOT 1
- No Prometheus nor Grafana Plots - /examples/flower-via-docker-compose HOT 3
- 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 2
- 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
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