Algorithm 1 FedAvg-Gaussian (FedAG). C is the fraction of devices used in each round, K is the total number of devices, ${\mathcal{D}}_k$ is the data observed by device k, B is the batch size, E is the number of local epochs, $\eta$ is the learning rate and l is the squared loss function.