DualPFL: A Dual Sparse Pruning Method with Efficient Federated Learning for Edge-Based Object Detection
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DOI: 10.3390/app142210547
Abstract: 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… read more here.
Keywords: dual sparse; sparse pruning; dualpfl dual; efficient federated ... See more keywords