A Survey on Federated Learning for Resource-Constrained IoT Devices Article

Imteaj, Ahmed, Thakker, Urmish, Wang, Shiqiang et al. (2022). A Survey on Federated Learning for Resource-Constrained IoT Devices . IEEE INTERNET OF THINGS JOURNAL, 9(1), 1-24. 10.1109/JIOT.2021.3095077

ESI Most Cited Paper Industry Collaboration

cited authors

  • Imteaj, Ahmed; Thakker, Urmish; Wang, Shiqiang; Li, Jian; Amini, M Hadi

authors

publication date

  • January 1, 2022

published in

keywords

  • COMMUNICATION
  • Collaborative work
  • Computational modeling
  • Computer Science
  • Computer Science, Information Systems
  • Convergence
  • Data models
  • Edge computing
  • Engineering
  • Engineering, Electrical & Electronic
  • INTERNET
  • Internet of Things
  • OPTIMIZATION
  • PRIVACY
  • Science & Technology
  • Servers
  • Technology
  • Telecommunications
  • Training
  • federated learning (FL)
  • global model
  • local model
  • on-device training
  • resource-constrained Internet-of-Things (IoT) devices

Digital Object Identifier (DOI)

publisher

  • IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

start page

  • 1

end page

  • 24

volume

  • 9

issue

  • 1