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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