"A Federated Reinforcement Learning Approach for Optimizing Wireless ..."

Fan Yang et al. (2024)

> Home

Details and statistics

DOI: 10.1109/JIOT.2024.3434713

access: closed

type: Journal Article

metadata version: 2024-10-22

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/iotj/YangZHLTYG24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/iotj/YangZHLTYG24
Fan Yang, Zijie Zhao, Jie Huang, Peifeng Liu, Amr Tolba, Keping Yu, Mohsen Guizani:
A Federated Reinforcement Learning Approach for Optimizing Wireless Communication in UAV-Enabled IoT Network With Dense Deployments. IEEE Internet Things J. 11(20): 33953-33966 (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.