Federated Learning for Internet of Things: Applications, Challenges, and Opportunities. (arXiv:2111.07494v2 [cs.LG] UPDATED)

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. Federated Learning (FL) has emerged as the …

applications arxiv federated learning internet internet of things learning