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Institution:软件学院

Title of Paper:FedADP: Communication-Efficient by Model Pruning for Federated Learning

Journal:Globecom 2023: IEEE Global Communications Conference

First Author:刘海洋

Document Code:112F5E2DC4364FC483881143BDE0C718

Number of Words:5

Translation or Not:No

Date of Publication:2023-12

Release Time:2025-09-23