A QMIX-based resource allocation strategy that adapts sub-band and power choices to small-scale fading improves federated learning accuracy in spectrum-sharing wireless networks.
Communication-efficient learning of deep networks from decentralized data,
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Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning
A QMIX-based resource allocation strategy that adapts sub-band and power choices to small-scale fading improves federated learning accuracy in spectrum-sharing wireless networks.