Work

Communication-Efficient Federated Learning via Dynamic Sparsity: An Adaptive Pruning Ratio Based on Weight Importance

Year: 2025

Type: article

Source: IEEE Transactions on Cognitive Communications and Networking

DOI: 10.1109/tccn.2025.3577323

Authors: Lukun Wang, Xiaoqing Xu, Jiaming Pei

Institutions: Shandong University of Science and Technology, The University of Sydney

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4411086509

FWCI: 10.31

Cites: 22

Cited by: 25

Related to: 10