Flower Examples Documentation

Welcome to Flower Examples’ documentation. Flower is a friendly federated learning framework.

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Quickstart Examples

Flower Quickstart Examples are a collection of demo projects that show how you can use Flower in combination with other existing frameworks or technologies.

Title	Framework	Dataset	Tags
Flower Clients in C++ (under development)	C++	Synthetic	quickstart, linear regression, tabular
Federated Learning with fastai and Flower (Quickstart Example)	fastai	MNIST	quickstart, vision
Federated Learning with HuggingFace Transformers and Flower (Quickstart Example)	transformers	IMDB	quickstart, llm, nlp, sentiment
JAX: From Centralized To Federated	JAX	Synthetic	quickstart, linear regression
Flower Example using TensorFlow/Keras + MLCube	mlcube, tensorflow, Keras	MNIST	quickstart, vision, deployment
Federated Learning with MLX and Flower (Quickstart Example)	MLX	MNIST	quickstart, vision
Federated Learning with MONAI and Flower (Quickstart Example)	MONAI	MedNIST	quickstart, medical, vision
Federated Learning with Pandas and Flower (Quickstart Example)	pandas	Iris	quickstart, tabular, federated analytics
Federated Learning with PyTorch and Flower (Quickstart Example)	torch, torchvision	CIFAR-10	quickstart, vision, fds
Federated Learning with PyTorch Lightning and Flower (Quickstart Example)	lightning	MNIST	quickstart, vision, fds
Federated Learning with scikit-learn and Flower (Quickstart Example)	scikit-learn	Iris	quickstart, tabular, fds
Flower TabNet Example using TensorFlow	tabnet	Iris	quickstart, tabular
Federated Learning with Tensorflow/Keras and Flower (Quickstart Example)	tensorflow	CIFAR-10	quickstart, vision, fds
Federated Learning with XGBoost and Flower (Quickstart Example)	xgboost	HIGGS	quickstart, classification, tabular

Advanced Examples

Advanced Examples are mostly for users that are both familiar with Federated Learning but also somewhat familiar with Flower’s main features.

Title	Framework	Dataset	Tags
Federated Learning with PyTorch and Flower (Advanced Example)	torch, torchvision	Fashion-MNIST	advanced, vision, fds, wandb
Advanced Flower Example (TensorFlow/Keras)	tensorflow, Keras	CIFAR-10	advanced, vision, fds
Flower Federations with Authentication 🧪	torch, torchvision	CIFAR-10	advanced, vision, fds
Secure aggregation with Flower (the SecAgg+ protocol)	torch, torchvision	CIFAR-10	advanced, secure_aggregation, privacy
Vertical Federated Learning with Flower	torch, pandas, scikit-learn	Titanic	vertical, tabular, advanced
Federated Learning with XGBoost and Flower (Comprehensive Example)	xgboost	HIGGS	advanced, classification, tabular

Other Examples

Flower Examples are a collection of example projects written with Flower that explore different domains and features. You can check which examples already exist and/or contribute your own example.

Title	Framework	Dataset	Tags
Flower Android Example (TensorFlowLite)	Android, Java, TensorFlowLite	CIFAR-10	mobile, vision, sdk
Flower Android Client Example with Kotlin and TensorFlow Lite 2022	Android, Kotlin, TensorFlowLite	CIFAR-10	mobile, vision, sdk
Flower App (PyTorch) 🧪	torch, torchvision	CIFAR-10	basic, vision, fds
Custom Metrics for Federated Learning with TensorFlow and Flower	tensorflow, scikit-learn	CIFAR-10	basic, vision, fds
Using custom mods 🧪	wandb, tensorboard	CIFAR-10	mods, monitoring, app
Federated Learning on Embedded Devices with Flower	torch, tensorflow	CIFAR-10, MNIST	basic, vision, fds
Federated Survival Analysis with Flower and KaplanMeierFitter	lifelines	Waltons	estimator, medical
Flower Example on MNIST with Differential Privacy and Secure Aggregation	torch, torchvision	MNIST	DP, SecAgg, vision, fds
Flower Example on Adult Census Income Tabular Dataset	scikit-learn, torch	Adult Census Income	basic, tabular, fds
30-minute tutorial running Flower simulation with PyTorch	torch	CIFAR-10	colab, vision, simulation
Flower Simulation Step-by-Step	torch	MNIST	basic, vision, simulation
Leveraging Flower and Docker for Device Heterogeneity Management in Federated Learning	Docker, tensorflow	CIFAR-10	deployment, vision, tutorial
FlowerTune LLM: Federated LLM Fine-tuning with Flower	PEFT, torch	Alpaca-GPT4	llm, nlp, LLama
Federated Finetuning of a Vision Transformer with Flower	torch, torchvision	Oxford Flower-102	finetuning, vision, fds
FLiOS - A Flower SDK for iOS Devices with Example	Swift	MNIST	mobile, vision, sdk
Training with Sample-Level Differential Privacy using Opacus Privacy Engine	opacus, torch	CIFAR-10	DP, DP-SGD, basic, vision, fds, privacy
Federated Variational Autoencoder with PyTorch and Flower	torch, torchvision	CIFAR-10	basic, vision, fds
PyTorch: From Centralized To Federated	torch	CIFAR-10	basic, vision, fds
Flower Logistic Regression Example using scikit-learn and Flower (Quickstart Example)	scikit-learn	MNIST	basic, vision, logistic regression, fds
Training with Sample-Level Differential Privacy using TensorFlow-Privacy Engine	tensorflow	MNIST	DP, DP-SGD, basic, vision, fds, privacy
On-device Federated Finetuning for Speech Classification	transformers, whisper	SpeechCommands	finetuning, speech, transformers