Flower
Monthly
Every month, you have an opportunity to learn more about federated learning and actively participate in the future directions of the Flower framework. Flower Monthly is held the first Wednesday of each month 16:00 UTC (08:00 SF, 11:00 NY, 16:00 LON, 17:00 CET, 21:30 IST, 00:00 北京).
This monthly community call features invited speakers, updates from Flower working groups, announcements of new Flower features, open discussion, and Q&A. Join our Slack (use the #flower-monthly channel) to share topics you’d like to hear about in future sessions. Below, you can find recordings of previous meetings. See you soon!
Flower Monthly
Join our monthly tech talks on Federated Learning and AI
Flower Intelligence: Local-first AI with Confidential Remote Compute
Flower Monthly - November 2025
Guardin: Exploring FL for Toronto Healthcare
Flower Monthly - November 2025
StratoFL: Federated Optimisation for Heterogeneous Molecular Data
Flower Monthly - November 2025
Enriching Flower with Robust Aggregation and Security-Aware Extensions
Flower Monthly - October 2025
Federated Weakly Supervised Video Anomaly Detection
Flower Monthly - October 2025
Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AI
Flower Monthly - September 2025
Argos: A Federated System for Detection of Traffic Signs in CAVs
Flower Monthly - September 2025
Federated Learning for Skin Cancer Detection with the HAM10000 Dataset
Flower Monthly - August 2025
Federated learning for chemical engineering
Flower Monthly - August 2025
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models
Flower Monthly - July 2025
Federated Learning with the Flower Framework: A Collaborative Approach from the Euclid Team
Flower Monthly - July 2025
Christos Chrysanthos Nikolaidis
Federated Learning in Multivariate Time Series via Data Distillation
Flower Monthly - July 2025
Productionizing with Flower
Flower Monthly - June 2025
Decentralizing Trust in AI Model Sharing: From Research Labs to Global Collaboration
Flower Monthly - June 2025
FedRAG: A New Framework for Fine-tuning RAG across Central and Federated Architectures
Flower Monthly - June 2025
Running Flower on the Google Cloud Platform
Flower Monthly - May 2025
HeLoRA: LoRA-heterogeneous Federated Fine-tuning for Foundation Models
Flower Monthly - May 2025
Optimizing the Carbon Footprint of Federated Learning
Flower Monthly - May 2025



































































































































































