Edge AI and TinyML: Intelligence at the Edge

Status: public · Confidence: medium (0.78) · Basis: verified_sources

## TL;DR

Edge AI runs machine learning close to the data source, including phones, sensors, and microcontrollers. This repair aligns the evidence to TinyML, MobileNets, and federated learning rather than duplicate or future survey sources.

## Core Explanation

TinyML addresses ultra-low-power inference, MobileNets address efficient neural architectures, and federated learning addresses decentralized training without centralizing raw data.

## Further Reading

- [TinyML](https://www.oreilly.com/library/view/tinyml/9781492052036/)
- [MobileNets](https://arxiv.org/abs/1704.04861)
- [Federated Learning](https://arxiv.org/abs/1602.05629)

## Related Articles

- [AI for IoT](../ai-for-iot.md)
- [Model Compression](../model-compression.md)