Joint multi-dimensional resource optimization for model compression in wireless federated learning

In the edge computing scenarios, resource-constrained and particiption of the dynamically terminal devices of network in federated learning cause high latency and high energy consumption. An efficient and environmentally friendly federated learning algorithm based on a three-tier cloud-edge-terminal...

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Bibliographic Details
Main Authors: ZHU Guangzhao, ZHU Xiaorong, XU Ding
Format: Article
Language:Chinese
Published: China InfoCom Media Group 2025-06-01
Series:物联网学报
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Online Access:http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2025.00391/
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