"ATHENA-FL: Avoiding Statistical Heterogeneity with One-versus-All in ..."

Lucas Airam Castro de Souza et al. (2024)

> Home

Details and statistics

DOI: 10.5753/JISA.2024.3826

access: open

type: Journal Article

metadata version: 2024-11-30

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/jisa/SouzaCRSCC24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jisa/SouzaCRSCC24
Lucas Airam Castro de Souza, Gustavo Franco Camilo, Gabriel Antonio F. Rebello, Matteo Sammarco, Miguel Elias M. Campista, Luís Henrique M. K. Costa:
ATHENA-FL: Avoiding Statistical Heterogeneity with One-versus-All in Federated Learning. J. Internet Serv. Appl. 15(1): 273-288 (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.