"A lightweight federated learning based privacy preserving B5G pandemic ..."

Nidal Nasser et al. (2022)

> Home

Details and statistics

DOI: 10.1016/J.COMNET.2021.108672

access: closed

type: Journal Article

metadata version: 2022-03-15

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/cn/NasserFFAI22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cn/NasserFFAI22
Nidal Nasser, Zubair Md. Fadlullah, Mostafa M. Fouda, Asmaa Ali, Muhammad Imran:
A lightweight federated learning based privacy preserving B5G pandemic response network using unmanned aerial vehicles: A proof-of-concept. Comput. Networks 205: 108672 (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.