"Rethinking Architecture Design for Tackling Data Heterogeneity in ..."

Liangqiong Qu et al. (2022)

> Home

Details and statistics

DOI: 10.1109/CVPR52688.2022.00982

access: closed

type: Conference or Workshop Paper

metadata version: 2023-03-21

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/cvpr/QuZLXW00R22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cvpr/QuZLXW00R22
Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Ehsan Adeli, Li Fei-Fei, Daniel L. Rubin:
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. CVPR 2022: 10051-10061

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.