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WebFederated ML Tutorial: Federated Learning on the Iris Dataset with the Flower Library. If you run into any trouble getting the code to run for this tutorial and would like to see a working example, try running it in from your browser at this mybinder link and follow the instructions in the readme to launch the federated learning demo. WebMar 28, 2024 · Flower is used to federate the previously centralized JAX example. To enable Flower to manage the complexity of federated learning, all that is required is to convert the JAX model parameters to and from NumPy ndarrays and subclass NumPyClient. WebApr 1, 2024 · The most well-known are Flower, PySyft, TensorFlow Federated, or Paddle FL. To showcase how a federated learning system can easily build we will use the federated learning framework Flower. It is one of the more popular frameworks in this field and takes a very straightforward approach. contact orabank gabon