"GPU-Enabled Edge-based Federated Continual Learning with Resource ..."

Alexandre Niyomugaba, Dariusz Mrozek (2025)

> Home

Details and statistics

DOI: 10.1109/BIGDATA66926.2025.11402325

access: closed

type: Conference or Workshop Paper

metadata version: 2026-03-31

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/bigdataconf/NiyomugabaM25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bigdataconf/NiyomugabaM25
Alexandre Niyomugaba, Dariusz Mrozek:
GPU-Enabled Edge-based Federated Continual Learning with Resource Adaptation for Efficient Non-Stationary Visual Anomaly Detection. IEEE Big Data 2025: 4008-4017

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.