Tiny Machine Learning for Resource-Constrained Microcontrollers

Table 1

TinyML application features in IoT devices.

Feature	Increased	Decreased
Energy usage	CPU	Radio, overall
Processor	Throughput	Latency
Memory	Allocation complexity	Footprint
Data	Security, privacy	Transfer need
ML model	Optimization demand	Size, accuracy
Costs	Software dev.	Hardware