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.
Multi-agent deep reinforcement learning for dynamic power allocation in wireless networks,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
baseline 1
citation-polarity summary
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1roles
baseline 1polarities
baseline 1representative citing papers
citing papers explorer
-
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.