Federated Learning for Edge Devices
Federated learning for edge devices lets tiny gadgets learn together while keeping data private. This guide covers the basics, tools, and a smart‑home example.
TinyML: Deploying Machine Learning on Microcontrollers for Smart Sensors
TinyML lets you run neural networks on tiny microcontrollers, enabling smart sensors that keep data local and save power. This guide walks through a voice‑activity demo on ESP32‑S3 and covers best practices.
The Great AI Model Makeover
AI models are being shrunk down to size for edge devices, making them more efficient and powerful. Learn more about the techniques being used and the benefits of smaller AI models.