"FedArtML: A Tool to Facilitate the Generation of Non-IID Datasets in a ..."

Daniel Mauricio Jimenez Gutierrez et al. (2024)

> Home

Details and statistics

DOI: 10.1109/ACCESS.2024.3410026

access: open

type: Journal Article

metadata version: 2025-03-03

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/access/GutierrezACV24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/GutierrezACV24
Daniel Mauricio Jimenez Gutierrez, Aris Anagnostopoulos, Ioannis Chatzigiannakis, Andrea Vitaletti:
FedArtML: A Tool to Facilitate the Generation of Non-IID Datasets in a Controlled Way to Support Federated Learning Research. IEEE Access 12: 81004-81016 (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.