"FedDQ: A communication-efficient federated learning approach for Internet ..."

Zijia Mo et al. (2022)

> Home

Details and statistics

DOI: 10.1016/J.SYSARC.2022.102690

access: closed

type: Journal Article

metadata version: 2022-10-18

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jsa/MoGZL22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jsa/MoGZL22
Zijia Mo, Zhipeng Gao, Chen Zhao, Yijing Lin:
FedDQ: A communication-efficient federated learning approach for Internet of Vehicles. J. Syst. Archit. 131: 102690 (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.