Federated learning with communication delay in edge networks
Federated learning has received significant attention as a potential solution for distributing
machine learning (ML) model training through edge networks. This work addresses an
important consideration of federated learning at the network edge: communication delays
between the edge nodes and the aggregator. A technique called FedDelAvg (federated
delayed averaging) is developed, which generalizes the standard federated averaging
algorithm to incorporate a weighting between the current local model and the delayed global …
machine learning (ML) model training through edge networks. This work addresses an
important consideration of federated learning at the network edge: communication delays
between the edge nodes and the aggregator. A technique called FedDelAvg (federated
delayed averaging) is developed, which generalizes the standard federated averaging
algorithm to incorporate a weighting between the current local model and the delayed global …
Federated Learning with Communication Delay in Edge Networks
F Po-Chen Lin, CG Brinton, N Michelusi - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Federated learning has received significant attention as a potential solution for distributing
machine learning (ML) model training through edge networks. This work addresses an
important consideration of federated learning at the network edge: communication delays
between the edge nodes and the aggregator. A technique called FedDelAvg (federated
delayed averaging) is developed, which generalizes the standard federated averaging
algorithm to incorporate a weighting between the current local model and the delayed global …
machine learning (ML) model training through edge networks. This work addresses an
important consideration of federated learning at the network edge: communication delays
between the edge nodes and the aggregator. A technique called FedDelAvg (federated
delayed averaging) is developed, which generalizes the standard federated averaging
algorithm to incorporate a weighting between the current local model and the delayed global …
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