Flower
Monthly

Flower Monthly - Oct 1st

Community Driven Projects using Flower

Federated Learning for Skin Cancer Detection with the HAM10000 Dataset

Federated learning for chemical engineering

Flower Monthly - August 2025

FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models

Federated Learning with the Flower Framework: A Collaborative Approach from the Euclid Team

Federated Learning in Multivariate Time Series via Data Distillation

Flower Monthly - July 2025

Productionizing with Flower

Decentralizing Trust in AI Model Sharing: From Research Labs to Global Collaboration

FedRAG: A New Framework for Fine-tuning RAG across Central and Federated Architectures

Flower Monthly - June 2025

Running Flower on the Google Cloud Platform

HeLoRA: LoRA-heterogeneous Federated Fine-tuning for Foundation Models

Optimizing the Carbon Footprint of Federated Learning

Flower Monthly - May 2025

Distributed Training of Foundation Models for Ophthalmic Diagnosis

Enhancing Open-Source LLMs with FL: Optimizing Coding Task Performance with FlowerTune and Qwen2.5 0.5B

Flower Monthly - February 2025

LeRobot and Flower: Scaling Data and Compute for Real World Robotics

Federated Fine-Tuning a Foundation Model for Disease Detection

Flower Monthly - January 2025

PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning

Towards Active Participant-Centric Vertical Federated Learning

FlowerTune LLM Leaderboard Success Stories and Update

Flower Monthly - December 2024

lwr-serverless: A Serverless and Asynchronous Federated Learning Recipe for Medical Imaging

Where is the testbed for my Federated Learning Research?

Flower Monthly - November 2024

Protection from Extreme Model Poisoning Attacks

Federated Learning in Insurance

Flower Monthly - October 2024

EncCluster: Scalable Functional Encryption in Federated Learning

The ROS Framework for Federated Learning on Robotics - Collaborative Intelligence for Sustainable Cities

Flower Monthly - September 2024

FL-EVCS: Federated Learning based Anomaly Detection for EV Charging Ecosystem

Achieving Debugging and Interpretability in Federated Learning Systems

Flower Monthly - August 2024

Privacy preserving 3D medical image segmentation using Flower

Balancing Accuracy and Training Time in Federated Learning for Violence Detection in Surveillance Videos

Flower Monthly - July 2024

GREEN - Collaborative intelligence for sustainable cities

Parametric Feature Transfer: One-shot Federated Learning with Foundation Models

Flower Update: Enhanced Docker Support

Flower Monthly - June 2024

Homomorphic Encryption Implementation in Flower

DecentNeRFs: Decentralized Neural Radiance Fields

Flower ClientApps in Scaleout FEDn

Flower Monthly - May 2024

Adaptive Compression in Federated Learning via Side Information

Towards More Carbon-Efficient Federated Learning

Flower Monthly - April 2024

Federated learning for data collaborations in genomics

Tournament-Based Pretraining to Accelerate Federated Learning

Flower Monthly - March 2024

Federated Learning Priorities Under The EU Al Act

Federated Meta-Learning for Personalization

Flower Monthly - February 2024

Federated Learning with Flower in the European Open Science Cloud

FedOps: Federated Learning Lifecycle Operations Management Platform

Flower Monthly - January 2024

Fed-EE: Federating Heterogeneous ASR Models using Early-Exit Architectures

Concrete ML, Private Machine Learning Model Inference using Fully Homomorphic Encryption (FHE)

Flower Monthly -December 2023

Labeling Chaos to Learning Harmony Federated Learning with Label Noise

Flower Monthly - November 2023

Blockchain-enabled architecture for federated learning applications

A Federated Approach to Train and Deploy Machine Learning Models

Flower Monthly - October 2023

Scheduling and Communication Schemes for Decentralized Federated Learning

Federated Self-Supervised Speech Representation Learning

Flower Monthly - September 2023

Phoenix: A Federated Generative Diffusion Model

Flower Interview Series: FL Standards

Flower Monthly - August 2023

Flower Monthly - July 2023

FedArtML: A Tool to Create non-IID Datasets for Federated Learning Research

RETEXO: Scalable Neural Network Training over Distributed Graphs

Researchers love these tricks for simulation with Flower

Efficient Federated Random Subnetwork Training

Flower Monthly - June 2023

Federated Gradient Boosting Trees

Complement Sparsification for FL

Flower Monthly - May 2023

High Performance Simulation

Vertical Federated Learning using Financial Data

FLiOS – Federated Learning meets iOS (with demo)

FEMNIST release and Tuning FL Simulation Resources

Flower Monthly - April 2023

Federated Learning for Anti-Money laundering Enhancement (FLAME)

Flower Monthly - March 2023

Federated Supernetworks: addressing the hardware heterogeneity in cross-device FL

Flower + Useful Tricks

Flower Monthly - February 2023