What is Flower?
Flower is your one-stop solution for federated learning, analytics, and evaluation. Whether you're working with machine learning, data analytics, or evaluation tasks, Flower simplifies the process of federating workloads across any ML framework, programming language, or platform. Designed for both researchers and developers, it bridges the gap between experimentation and real-world deployment.
Key Features🌟
🔗 Federate Any Workload
Seamlessly integrate federated learning into your existing ML projects.
Benefit:Save time and effort by federating without rewriting your code.
🌍 Cloud, Mobile, Edge & Beyond
Compatible with AWS, GCP, Azure, Android, iOS, Raspberry Pi, and Nvidia Jetson.
Benefit:Run federated learning on diverse devices and environments.
🧩 ML Framework Agnostic
Works with PyTorch, TensorFlow, Hugging Face, JAX, scikit-learn, and more.
Benefit:Use your favorite tools without compromise.
🚀 Scalability for Real-World Systems
Handles workloads with tens of millions of clients.
Benefit:Scale your federated learning projects effortlessly.
💻 Platform Independent
Operates across different operating systems and hardware platforms.
Benefit:Flexibility to work in heterogeneous environments.
📚 Research to Production
Start with research and transition to production with minimal engineering effort.
Benefit:Prototype and deploy with confidence.
Use Cases🛠️
Automotive Industry
Train AI models for autonomous vehicles using data from multiple sources without sharing sensitive information.
Finance
Build fraud detection models collaboratively across banks while keeping customer data private.
Healthcare
Enable hospitals to collaborate on predictive models for patient care without compromising data privacy.
Why Users Love Flower❤️
Sherry Ding, Senior AI/ML Solutions Architect at AWS:
"Implementing Federated Learning using Flower on the AWS cloud is not complicated at all."M S Chaitanya Kumar, Integrated M.Tech Student at University of Hyderabad:
"Flower is easy to understand, and allocating GPUs for efficient usage is really good."Paolo Bellavista, Professor at the University of Bologna:
"Flower allows running simulations on a single machine and developing real FL systems with the same code."
More information on Flower
Launched
2017-12
Pricing Model
Free
Starting Price
Global Rank
362858
Follow
Month Visit
104.5K
Tech used
Next.js,Vercel,KaTeX,Gzip,OpenGraph,Webpack,HSTS
Top 5 Countries
16.04%
13.83%
8.9%
4.52%
3.93%
India
United States
Germany
Switzerland
Korea, Republic of
Traffic Sources
3.67%
1.15%
0.11%
8.73%
46.83%
39.47%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Sep 25, 2025)
Flower was manually vetted by our editorial team and was first featured on 2025-01-20.
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