"DFedGFM: Pursuing global consistency for Decentralized Federated Learning ..."

Qinglun Li et al. (2025)

> Home

Details and statistics

DOI: 10.1016/J.NEUNET.2024.107084

access: closed

type: Journal Article

metadata version: 2025-07-04

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/nn/LiZSYS25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/nn/LiZSYS25
Qinglun Li, Miao Zhang, Tao Sun, Quanjun Yin, Li Shen:
DFedGFM: Pursuing global consistency for Decentralized Federated Learning via global flatness and global momentum. Neural Networks 184: 107084 (2025)

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.