"Personalized federated learning framework for network traffic anomaly ..."

> Home

Details and statistics

DOI: 10.1016/J.COMNET.2022.108906

access: closed

type: Withdrawn Item

metadata version: 2023-09-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/cn/PeiZJL22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cn/PeiZJL22
(Withdrawn) Personalized federated learning framework for network traffic anomaly detection. Comput. Networks 209: 108906 (2022)

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.