Federated Financial Fraud Detection with XGBoost and Flower

Federated Variational Autoencoder Example with PyTorch and Flower

Base App for the Medical challenge in the FlowerTune LLM Leaderboard

Base App for the General NLP challenge in the FlowerTune LLM Leaderboard

Base App for the Finance challenge in the FlowerTune LLM Leaderboard

Base App for the Code challenge in the FlowerTune LLM Leaderboard

Federated Learning with Numpy and Flower (Demo)

FedOps MNIST XAI client launcher with Flower

Hierarchical FL pipeline.

Flower Hub-ready FedOps multimodal app for Hateful Memes federated learning

Federated Learning with SpeechLLM (WavLM + TinyLlama), PyTorch Lightning, and Flower

Federated XGBoost classification of lung function categories from spirometry data, using U of T Pulmonary Function Test Guidelines.

Federated WITSML mnemonic mapping: learn a universal channel-name classifier across vendors using FedProx, without requiring a centrally maintained mapping database.

Federated Non-Productive Time (NPT) prediction using FedProx and Differential Privacy. Operators train a shared NPT classifier without exposing well-level logs or cost data.

Federated NLP for drilling report classification and information extraction. Fine-tunes a lightweight transformer on daily drilling reports without centralizing confidential operational data.

Federated LLM Guardrails Benchmarking across regulated domains

Federated Learning on time series with Tensorflow/Keras and Flower (Quickstart Example)

Federated Learning with CKKS Homomorphic Encryption and Flower

In this Flower example we are modelling forest timber volme using satellite time series data.

A Federated Retrieval-Augmented Generation (FedRAG) application.

The current example shows how to interact with S3, download a file from an S3 bucket and load it into a Flower app.

Federated Tabular Data Classification with Flower, PyTorch, scikit-learn, and TabPFN

Federated poisoning lab with FedAvg, FedTrimmedAvg, and Krum

Helmsman, an agentic framework for autonomous synthesis of federated learning systems via collaborative LLM agents

Federated nnU-Net: Privacy-preserving medical image segmentation with Flower and nnU-Net

This app provides federated instruction-tuning of the SmolLM2-135M-Instruct model on a medical dataset using the Flower framework.

This app provides federated instruction-tuning of the SmolLM2-360M model on a general NLP dataset using the Flower framework.

This app provides federated instruction-tuning of the gemma2-9b model on a general NLP dataset using the Flower framework.

This app provides federated instruction-tuning of the SmolLM2-360M-Instruct model on a finance dataset using the Flower framework.

This app provides federated instruction-tuning of the SmolLM2-135M-Instruct model on a code dataset using the Flower framework.

A local hardware emulator for Federated Learning in Flower.

Basic Example by the Vector Institute

Custom Flower Mods in Flower Apps

Federated Learning with PyTorch and authenticated Flower

Federated Learning with PyTorch Lightning and Flower (Quickstart Example)

Quantum Federated Learning with PennyLane and Flower

Federated Learning with Pandas and Flower (Quickstart Example)

Federated Learning with MONAI and Flower (Quickstart Example)

Federated Learning with Fastai and Flower (Quickstart Example)

Federated Learning with CatBoost and Flower (Quickstart Example)

Sample-level Differential Privacy with Opacus in Flower

Secure Aggregation in Flower

Adult Census Income Tabular Dataset and Federated Learning in Flower

Central Differential Privacy and Secure Aggregation in Flower

Flower app demo: farm clients federated multi-output regression on Sentinel features (X1..X10) in PyTorch.

Federated external control arm method (FedECA) for survival analysis, as a Flower App.

P2P SMPC Protocol for Federated Learning using Flower

FRIDA is a Flower App that implements and evaluates privacy attack-based methods for detecting free-riders in Federated Learning

Privacy-preserving federated dimensionality reduction: MMD landmark optimisation + Nyström approximation to compute a global UMAP embedding without sharing raw data.

Federated Learning with Homomorphic Encryption (CKKS via TenSEAL)

Federated NanoGPT on Tiny Shakespeare with Flower

Federated Learning with Numpy and Flower (Quickstart Example)

Federated Learning for Phishing URL Detection

FlowerTune LLM Labs

FlowerTune LLM Labs - Finance

FlowerTune LLM Labs - Finance

FlowerTune LLM Labs - Coding

FlowerTune LLM Labs

FlowerTune LLM Labs

FlowerTune LLM Labs

FlowerTune LLM Labs

FlowerTune LLM Labs

FlowerTune LLM Labs

FlowerTune LLM Labs

FlowerTune LLM Labs - Coding

FlowerTune LLM Labs

This repository shows how AIfES and Flower can be combined.

FedOps MNIST client launcher with Flower

A GCCL federated fine-tuning app built with FlowerTune for large language models.

A GCCL federated fine-tuning app built with FlowerTune for large language models.

A GCCL federated fine-tuning app built with FlowerTune for large language models.

A GCCL federated fine-tuning app built with FlowerTune for large language models.

Federated Learning with Diffusion Model and Flower (Quickstart Example)

Federated Learning with Diffusion Model and Flower (Quickstart Example)

A Demo App with NumPy

Federated Finetuning of a Vision Transformer on Poultry Health

Federated instruction tuning of Meerkat-7B on Medical Meadow Medical Flashcards with LoRA, PEFT, and FedProx.

Federated instruction tuning of Llama-medx on Medical Meadow Medical Flashcards with LoRA, PEFT, and FedProx.

Federated instruction tuning of JSL-MedLlama-3-8B on Medical Meadow Medical Flashcards with LoRA, PEFT, and FedProx.

Federated instruction tuning of Bio-Medical-Llama-3-8B on Medical Meadow Medical Flashcards with LoRA, PEFT, and FedProx.

Federated Learning with Diffusion Model and Flower (Quickstart Example)

FlowerTune LLM federated fine-tuning app for CodeLlama-7b-hf.

FlowerTune LLM federated fine-tuning app for StarCoder2-7B.

FlowerTune LLM federated fine-tuning app for DeepSeek-Coder-7B-Instruct-v1.5.

FlowerTune LLM federated fine-tuning app for TinyLlama-1.1B-Chat-v1.0.

Federated Learning for Urban Audio Tagging

Federated Learning for Camera-fleet Scene Classification

Federated LoRA fine-tuning of Llama3.1-Aloe-Beta-8B for medical QA tasks; ranked #1 on the FlowerTune LLM Leaderboard (Medical track, as of 2026-01-14).

Federated LoRA fine-tuning of Qwen2.5-7B for financial NLP tasks; ranked #1 on the FlowerTune LLM Leaderboard (Finance track, as of 2026-01-14).

Federated LoRA fine-tuning of InternLM3-8B-Instruct for general NLP tasks; ranked #1 on the FlowerTune LLM Leaderboard (General NLP track, as of 2026-01-14).

Federated LoRA fine-tuning of Qwen3-8B for code tasks; ranked #1 on the FlowerTune LLM Leaderboard (Code track, as of 2026-01-14).

Federated Learning for NHANES T2D Detection using FedMAP (PyTorch + Flower)

A Flower app for federated LoRA fine-tuning of Qwen2.5-7B-Instruct on general NLP tasks

Federated LLM Fine-tuning for Medical Question-answering (Llama-3-8B)

Feature Election - Federated Feature Selection with Flower

Federated LLM fine-tuning of Qwen2.5-1.5B-Instruct on medical dataset

Federated Learning with XGBoost and Flower (Quickstart Example)

Federated Learning with Tensorflow/Keras and Flower (Quickstart Example)

Federated Learning with MLX and Flower (Quickstart Example)

Federated Learning with PyTorch and Flower (Example App)

Federated Learning with scikit-learn and Flower (Quickstart Example)

Federated Learning with PyTorch and Flower (Quickstart Example)

Federated Learning with Numpy and Flower (Quickstart Example)

Federated Learning with Hugginface Transformers and Flower (Quickstart Example)

Federated Learning with JAX and Flower (Quickstart Example)

Federated Learning with PyTorch and Flower (Quickstart Example)

Base app to create a Flower Baseline

A Flower Numpy App.