DualPFL: A Dual Sparse Pruning Method with Efficient Federated Learning for Edge-Based Object Detection

DualPFL: A Dual Sparse Pruning Method with Efficient Federated Learning for Edge-Based Object Detection

With the increasing complexity of neural network models, the huge communication overhead in federated learning (FL) has become a significant issue. To mitigate resource consumption, incorporating pruning algorithms into federated learning has emerged as a promising approach. However, existing prunin...

Full description

Saved in:
Bibliographic Details
Main Authors: Shijin Song, Sen Du, Yuefeng Song, Yongxin Zhu
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
communication overhead
federated learning
sparsity
dynamic pruning
non-IID data
Online Access:https://www.mdpi.com/2076-3417/14/22/10547
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2076-3417/14/22/10547

Similar Items