Flower AI Summit 2026·April 15–16·London
First Wednesday of every month
Flower Monthly
Join our monthly community call to learn about federated learning and contribute to the future of the Flower framework, with invited speakers, updates, and open Q&A.
Feb 4, 202618:00 UTC
10:00 SF13:00 NY18:00 LON
19:00 CET23:30 IST02:00 北京
19:00 CET23:30 IST02:00 北京
Join our Slack (use the #flower-monthly channel) to share topics you'd like to hear about in future sessions.
Explore Past Talks
Nov 5, 2025Mohammad Naseri
Flower Intelligence: Local-first AI with Confidential Remote Compute
Nov 5, 2025University of Toronto
Guardin: Exploring FL for Toronto Healthcare
Nov 5, 2025Haoran (Samuel) Jie
StratoFL: Federated Optimisation for Heterogeneous Molecular Data
Nov 5, 2025Prof. Nicholas Lane
Flower Monthly - November 2025
Oct 1, 2025Fran Cortés
Enriching Flower with Robust Aggregation and Security-Aware Extensions
Oct 1, 2025Jiahang Li
Federated Weakly Supervised Video Anomaly Detection
Oct 1, 2025Javier Fernandez-Marques
Flower Monthly - October 2025
Sep 3, 2025Meghali Nandi
Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AI
Sep 3, 2025Mahdi Haji Seyed Hossein
Argos: A Federated System for Detection of Traffic Signs in CAVs
Sep 3, 2025Prof. Nicholas Lane
Flower Monthly - September 2025
Aug 6, 2025Priyanka Das
Federated Learning for Skin Cancer Detection with the HAM10000 Dataset
Aug 6, 2025Jan Rittig
Federated learning for chemical engineering
Aug 6, 2025Javier Fernandez-Marques
Flower Monthly - August 2025
Jul 2, 2025Yan Gao
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models
Jul 2, 2025Eleni Briola, Christos Chrysanthos Nikolaidis
Federated Learning with the Flower Framework: A Collaborative Approach from the Euclid Team
Jul 2, 2025Chenrui Fan
Federated Learning in Multivariate Time Series via Data Distillation
Jul 2, 2025Prof. Nicholas Lane
Flower Monthly - July 2025
Jun 4, 2025Chong Shen Ng
Productionizing with Flower
Jun 4, 2025Arpita Sarker
Decentralizing Trust in AI Model Sharing: From Research Labs to Global Collaboration
Jun 4, 2025Andrei Fajardo
FedRAG: A New Framework for Fine-tuning RAG across Central and Federated Architectures
Jun 4, 2025Javier Fernandez-Marques
Flower Monthly - June 2025
May 7, 2025Dimitris Stripelis
Running Flower on the Google Cloud Platform
May 7, 2025Boyu Fan
HeLoRA: LoRA-heterogeneous Federated Fine-tuning for Foundation Models
May 7, 2025Talha M.
Optimizing the Carbon Footprint of Federated Learning
May 7, 2025Prof. Nicholas Lane
Flower Monthly - May 2025
Feb 5, 2025Sina Gholami
Distributed Training of Foundation Models for Ophthalmic Diagnosis
Feb 5, 2025Massimo Roberto Scamarcia
Enhancing Open-Source LLMs with FL: Optimizing Coding Task Performance with FlowerTune and Qwen2.5 0.5B
Feb 5, 2025Prof. Nicholas Lane
Flower Monthly - February 2025
Jan 8, 2025Ivelin Ivanov
LeRobot and Flower: Scaling Data and Compute for Real World Robotics
Jan 8, 2025Eden Ruffell
Federated Fine-Tuning a Foundation Model for Disease Detection
Jan 8, 2025Prof. Nicholas Lane