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 starting at September 3rd 16:00 UTC (09:00 SF, 12:00 NY, 17:00 LON, 18:00 CET, 21:30 IST, 00:00 北京). This monthly community meeting will include amazing invited speakers, updates from Flower working groups, announcements of new Flower features, open discussion and Q&A. We invite you to join our Slack (and use the #flower-monthly channel) to let us know what you'd like to hear about during future Flower Monthly events. Below we have recordings of prior meetings. See you soon!
Community Driven Projects using Flower
Flower Monthly - August 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