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In fact, we are in the process of implementing LightSecAgg, and we'd welcome their feedback once we have a working version.
FedML is definitely much simpler and more powerful in both research and production. In terms of scalability, I like the benchmarking results in this paper (https://arxiv.org/abs/2303.01778); it shows that FedML is much more scalable. I also tried it myself, it's faster and more scalable. In terms of "research to production", I don't see Flower supporting any MLOps functionalities. Is Flower trying to copy FedML again in this direction?
I will stop here due to your disrespectful words. Good luck.