"Approaches to Uncertainty Quantification in Federated Deep Learning."

Florian Linsner et al. (2021)

> Home

Details and statistics

DOI: 10.1007/978-3-030-93736-2_12

access: closed

type: Conference or Workshop Paper

metadata version: 2022-03-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/pkdd/LinsnerADKF21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/pkdd/LinsnerADKF21
Florian Linsner, Linara Adilova, Sina Däubener, Michael Kamp, Asja Fischer:
Approaches to Uncertainty Quantification in Federated Deep Learning. PKDD/ECML Workshops (1) 2021: 128-145

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.