"Towards Efficient and Stable K-Asynchronous Federated Learning With ..."

Zihao Zhou et al. (2022)

> Home

Details and statistics

DOI: 10.1109/TPDS.2022.3150579

access: closed

type: Journal Article

metadata version: 2022-07-25

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tpds/ZhouLRY22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tpds/ZhouLRY22
Zihao Zhou, Yanan Li, Xuebin Ren, Shusen Yang:
Towards Efficient and Stable K-Asynchronous Federated Learning With Unbounded Stale Gradients on Non-IID Data. IEEE Trans. Parallel Distributed Syst. 33(12): 3291-3305 (2022)

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.