"PODE: privacy-enhanced distributed federated learning approach for ..."

Sidra Abbas et al. (2024)

> Home

Details and statistics

DOI: 10.7717/PEERJ-CS.2050

access: open

type: Journal Article

metadata version: 2024-10-06

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/peerj-cs/AbbasSAAMKA24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/peerj-cs/AbbasSAAMKA24
Sidra Abbas, Gabriel Avelino R. Sampedro, Ahmad S. Almadhor, Mideth B. Abisado, Mehrez Marzougui, Tai-Hoon Kim, Areej Alasiry:
PODE: privacy-enhanced distributed federated learning approach for origin-destination estimation. PeerJ Comput. Sci. 10: e2050 (2024)

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.