"P-FedAvg: Parallelizing Federated Learning with Theoretical Guarantees."

Zhicong Zhong et al. (2021)

> Home

Details and statistics

DOI: 10.1109/INFOCOM42981.2021.9488877

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-21

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/infocom/ZhongZWCCLS21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/infocom/ZhongZWCCLS21
Zhicong Zhong, Yipeng Zhou, Di Wu, Xu Chen, Min Chen, Chao Li, Quan Z. Sheng:
P-FedAvg: Parallelizing Federated Learning with Theoretical Guarantees. INFOCOM 2021: 1-10

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.