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arXiv · 1911.07615

Bandwidth Slicing to Boost Federated Learning in Edge Computing

Jun Li·Xiaoman Shen·Lei Chen·Jiajia Chen
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Abstract

Bandwidth slicing is introduced to support federated learning in edge computing to assure low communication delay for training traffic. Results reveal that bandwidth slicing significantly improves training efficiency while achieving good learning accuracy.

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Jun Li, Xiaoman Shen, Lei Chen, Jiajia Chen. 2019-10-24. Bandwidth Slicing to Boost Federated Learning in Edge Computing. https://arxiv.org/abs/1911.07615

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