Popular GitHub Repositories for Flower

HeFlwr: Federated Learning for Heterogeneous Devices

Experiments on MNIST dataset and federated training using Flower framework

This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"

Simple simulation of federated learning (FedAvg) using Flower framework

Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.

FlowerGAN : A DCGAN implementation in TensorFlow

Using Flower federated learning with scikit-learn random forest

Enhancing Efficiency in Multidevice Federated Learning through Data Selection

Flower-based Privacy-Preserving Federated Learning with secure aggregation using Carbyne Stack

Implementation of Federated Learning using the Flower Framework

Federated Learning with flower and pytorch using a metaheuristic based on the beta distribution

Federated Learning in Medicine Application Using Kaggle Medicine Data

CTR Prediction Model Developed In A Federated Setup On Avazu Dataset.

This repo contains the code and experiments of the paper "User-Empowered Federated Learning in Android"

Code for the paper "PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning" by L. Corbucci, M. A. Heikkil?, D.S. Noguero, A. Monreale, N. Kourtellis.

Federated Learning for classification using Flower :A Friendly Federated Learning Framework and Pytorch

Application of federated learning in AMD classification

Use federated learning to train variational auto-encoders on disjoint distributions

Federated Learning on a multi-cluster environment powered by Liqo and Flower FL framework

This project implements hyper-tuned federated learning using the Flower framework, combining FedAvg, Logistic Regression, and a 2-layer CNN. It enables decentralized model training across devices, optimizing performance while ensuring data privacy and improving accuracy on both simple and complex tasks.