Survey of TinyML deployments and opportunities in wireless networks, with a proposed federated learning-based update procedure for concept drift mitigation on battery-powered and batteryless devices.
Tin-Tin: Towards tiny learning on tiny devices with integer-based neural network training,
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TinyML for On-Device and Edge Analytics in Wireless Networks: A Survey of Deployments, Opportunities, and Concept-Drift Mitigation
Survey of TinyML deployments and opportunities in wireless networks, with a proposed federated learning-based update procedure for concept drift mitigation on battery-powered and batteryless devices.