Flower Examples Documentation#
- Flower Example using XGBoost
- Flower Example using XGBoost (Comprehensive)
- On-device Federated Finetuning for Speech Classification
- Federated finetuning of a ViT
- Vertical Federated Learning example
- Flower Example using scikit-learn
- Flower Simulation example using TensorFlow/Keras
- Flower Simulation example using PyTorch
- Flower Example using TensorFlow/Keras
- Flower TabNet Example using TensorFlow
- Flower Example using scikit-learn
- Flower Example using PyTorch
- Flower Example using PyTorch Lightning
- Flower Example using Pandas
- Flower Example using MONAI
- Flower Example using MLX
- Flower Example using TensorFlow/Keras + MLCube
- JAX: From Centralized To Federated
- Federated HuggingFace Transformers using Flower and PyTorch
- Flower Example using fastai
- Flower Clients in C++ (under development)
- PyTorch: From Centralized To Federated
- Flower Example for Federated Variational Autoencoder using Pytorch
- Differentially Private Federated Learning using Opacus, PyTorch and Flower
- LLM FlowerTune: Federated LLM Fine-tuning with Flower
- FLiOS - A Flower SDK for iOS Devices with Example
- fl_dp_sa
- Leveraging Flower and Docker for Device Heterogeneity Management in Federated Learning
- Flower Simulation Step-by-Step
- 30-minute tutorial running Flower simulation with PyTorch
- Flower Client Authentication with PyTorch 🧪
- Flower Example using KaplanMeierFitter
- Federated Learning on Embedded Devices with Flower
- Flower Example Using Tensorflow/Keras and Tensorflow Privacy
- Using custom mods 🧪
- Flower Example using Custom Metrics
- Secure aggregation with Flower (the SecAgg+ protocol) 🧪
- Flower App (PyTorch) 🧪
- Flower Android Example (TensorFlowLite)
- Flower Android Client Example with Kotlin and TensorFlow Lite 2022
- Advanced Flower Example (TensorFlow/Keras)
- Advanced Flower Example (PyTorch)