Hello!
I am very new to Flower framework. I want to know if we can implement k-anonymity on a few clients and local differential privacy on the others with different values of parameters using Flower.
If yes, if someone could please explain how can I do that.
Thanks
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Hey, thanks for the question.
Yes, it is possible. First, you need to define your clients and partition their data. For clients where you want to implement k-anonymity, apply it to their data before using it for training. Additionally, for clients where you want to use Local DP, utilize the existing mod.
These links may be helpful:
- Custom Mods: Using custom mods 🧪 - Flower Examples 1.10.0
- Explanation of Differential Privacy: Flower Framework main"
Let me know if you have more questions.
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Can you share some example where Local DP has been used with Flower? Can this run on Colab Notebook?