Comments (1)
Released in version 0.16.0
from flower.
Related Issues (20)
- example run failed HOT 3
- Add Flower Baseline: FedGen HOT 1
- Add Flower Baseline: FedDebug HOT 3
- I cant run code on the Flower Tutorial : Get started with Flower HOT 4
- Run simulation_pytorch example, there are some questions HOT 6
- How to add data augmentation in clients' local datasets? HOT 1
- pip install flwr, but there are some ImportErrors HOT 5
- how to load the mnist dataset locally HOT 3
- Inplace update error in loading state_dict for YOLOV8 HOT 6
- Unable to start federated training on CUDA when using YOLOv8 model
- Can a client call a server-side function?
- cryptography 42 HOT 1
- Arduino Client for federated learning with Flower HOT 1
- Label and feature skew Partitioner HOT 1
- Does the Flower support decentralized federated learning?
- Memory error in Flower simulation with 10 clients MNIST task HOT 2
- 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
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