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Comment on Launch HN: Flower (YC W23) – Train AI models on distributed or sensitive data

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Great to see Flower here! We use the framework for our projects because of its modularity, scalability, and ease to use. Another important aspect of FL, on top of the already mentioned privacy preservation, is network resource utilisation. By transferring only the weights of the model, less bandwidth is required, which can reduce network congestion. This is especially important given that it is expected that by 2030, more than 50 billion devices will be connected and transferring data.

Great to hear, thanks for sharing - modularity, scalability, and user friendliness are what we think a lot about :)

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