The convergence gap of SWIPT-based FL is derived to capture the effect of wireless communications on the learning performance. To speed FL convergence, a non-convex problem is formulated by jointly ...

Here a deep neural network (DNN) initializer is developed to provide better initial voltage magnitude and angle guesses to aid in power flow convergence. This is because Newton-Raphson ACPF is quite ...