"FedPAGE: Pruning Adaptively Toward Global Efficiency of Heterogeneous ..."

Guangmeng Zhou et al. (2024)

> Home

Details and statistics

DOI: 10.1109/TNET.2023.3328632

access: closed

type: Journal Article

metadata version: 2025-01-19

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/ton/ZhouLLZTYX24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ton/ZhouLLZTYX24
Guangmeng Zhou, Qi Li, Yang Liu, Yi Zhao, Qi Tan, Su Yao, Ke Xu:
FedPAGE: Pruning Adaptively Toward Global Efficiency of Heterogeneous Federated Learning. IEEE/ACM Trans. Netw. 32(3): 1873-1887 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.