Hi everyone,
We are exploring the idea clustered federated learning systems. Potential benefits include:
• Intuitive use-cases where data can be clustered.
• Better handling of data through homogeneous datasets,
Opportunities to Contribute
We’d love to hear your input! Here’s how you can contribute:
- Ideas and Design: Share thoughts on implementing clustered federated learning.
- Code and Prototypes: Help experiment with clustered FL using Flower.
- Research and Resources: Share papers, tools, or examples relevant to clustered federated learning.
Key Questions
• How can clustered federated learning be implemented using Flower?
• What modifications or extensions would be needed?
Let’s collaborate to explore this concept!