"PipeSFL: A Fine-Grained Parallelization Framework for Split Federated ..."

Yunqi Gao et al. (2025)

> Home

Details and statistics

DOI: 10.1109/TMC.2024.3489642

access: closed

type: Journal Article

metadata version: 2025-02-20

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tmc/GaoHMWB25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tmc/GaoHMWB25
Yunqi Gao, Bing Hu, Mahdi Boloursaz Mashhadi, Wei Wang, Mehdi Bennis:
PipeSFL: A Fine-Grained Parallelization Framework for Split Federated Learning on Heterogeneous Clients. IEEE Trans. Mob. Comput. 24(3): 1774-1791 (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.