Efficient federated learning on resource-constrained edge devices based on model pruning

Efficient federated learning on resource-constrained edge devices based on model pruning

Abstract Federated learning is an effective solution for edge training, but the limited bandwidth and insufficient computing resources of edge devices restrict its deployment. Different from existing methods that only consider communication efficiency such as quantization and sparsification, this pa...

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Bibliographic Details
Main Authors: Tingting Wu, Chunhe Song, Peng Zeng
Format: Article
Language:English
Published: Springer 2023-06-01
Series:Complex & Intelligent Systems
Subjects:
Federated learning
Model pruning
Communication efficient
Edge intelligence
Online Access:https://doi.org/10.1007/s40747-023-01120-5

Internet

https://doi.org/10.1007/s40747-023-01120-5

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