Algorithm 1.

Decentralized Data-sampled Neural Network

1:	procedure Decentralized Data-sampled Neural Network(NN, Sites)
2:	NN ← New Neural Network Model
3:	Sites ← array of Network pipes to local sites
4:	for each i ∈Sites do
5:	Gi = Gaussian Distribution of local data
6:	//Calculate distribution per local data and pass to every other site
7:	for each j ∈Sites\i do
8:	Gi →j
9:	end for
10:	end for
11:	//Initialize Models at Local Sites and Train
12:	for each site ∈ Sites do
13:	site ← NN
14:	site → Train Model
15:	end for
16:	end procedure