A simulation involving ArKrum and Differential Privacy Stochastic Gradient Descent (DP-SGD) with a noise multiplier of 0.3 has successfully scaled to 10 million nodes. The test, conducted over 20 rounds using CIFAR-10 data, included 30% malicious nodes and was executed via Torch distributed mocks. The final accuracy achieved was 0.76, a slight decrease from the 1 million node simulation due to coordination overhead, yet the system remained resilient. Future plans include integrating blockchain verification or testing the setup on the MNIST dataset.