FedPAGE: Pruning Adaptively Toward Global Efficiency of Heterogeneous Federated Learning-Reference-Cited by-同舟云学术

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FedPAGE: Pruning Adaptively Toward Global Efficiency of Heterogeneous Federated Learning

Published:2023 Issue: Volume: Page:1-15
ISSN:1063-6692
Container-title:IEEE/ACM Transactions on Networking
language:
Short-container-title:IEEE/ACM Trans. Networking

Author:

Zhou Guangmeng¹^ORCID,Li Qi²^ORCID,Liu Yang³,Zhao Yi¹^ORCID,Tan Qi¹^ORCID,Yao Su⁴^ORCID,Xu Ke¹^ORCID

Affiliation:

1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

2. Institute for Network Sciences and Cyberspace, Tsinghua University, Beijing, China

3. Huawei, Shenzhen, China

4. Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

National Science Foundation for Distinguished Young Scholars of China

Beijing Outstanding Young Scientist Program

China Postdoctoral Science Foundation

China National Postdoctoral Program for Innovative Talents, Shuimu Tsinghua Scholar Program

Ant Group through the CCF-Ant Innovative Research Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/90/4359146/10355680.pdf?arnumber=10355680

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