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Federated Learning for Internet of Things: Applications, Challenges, and Opportunities
[article]
2022
arXiv
pre-print
Billions of IoT devices will be deployed in the near future, taking advantage of faster Internet speed and the possibility of orders of magnitude more endpoints brought by 5G/6G. With the growth of IoT devices, vast quantities of data that may contain users' private information will be generated. The high communication and storage costs, mixed with privacy concerns, will increasingly challenge the traditional ecosystem of centralized over-the-cloud learning and processing for IoT platforms.
arXiv:2111.07494v4
fatcat:ytrs6b4ob5cdnmqbyfq3gg4esu