A multi-agent reinforcement learning based approach for automatic filter pruning

Abstract Deep Convolutional Neural Networks (DCNNs), due to their high computational and memory requirements, face significant challenges in deployment on resource-constrained devices. Network Pruning, an essential model compression technique, contributes to enabling the efficient deployment of DCNN...

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Bibliographic Details
Main Authors: Zhemin Li, Xiaojing Zuo, Yiping Song, Dong Liang, Zheng Xie
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-82562-w

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