"FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art ..."

Changjuan Ran et al. (2024)

> Home

Details and statistics

DOI: 10.1109/ICME57554.2024.10688004

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icmcs/RanG0CY24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icmcs/RanG0CY24
Changjuan Ran, Yeting Guo, Fang Liu, Shenglan Cui, Yunfan Ye:
FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions. ICME 2024: 1-6

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.