OMG, hard to believe that this is from Flower founder's words. I am just a federated learning user and told the truth to the audience here. I have followed the

OMG, hard to believe that this is from Flower founder's words. I am just a federated learning user and told the truth to the audience here. I have followed the FL community for more than 2 years, and I clearly feel that Flower has been copying and following FedML's product plan without any originality at all. These nonfactual attacks further makes me distrust on Flower team. You are ruining the reputation of YC. You need to gain the trust of users like FedML team, not attack their reputation. Please stop doing so. 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); 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?