A GNN can be trained fully distributed over a network by decomposing global backpropagation into local message passing, adding only a small number of communication rounds per mini-batch.
On the convergence of decentralized adaptive gradient methods,
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Fully Distributed Online Training of Graph Neural Networks in Networked Systems
A GNN can be trained fully distributed over a network by decomposing global backpropagation into local message passing, adding only a small number of communication rounds per mini-batch.