Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art

Understand

Nowadays, devices are equipped with advanced sensors with higher processing/computing capabilities.

• Further, widespread Internet availability enables communication among sensing devices.
• As a result, vast amounts of data are generated on edge devices to drive Internet-of-Things (IoT), crowdsourcing, and other emerging technologies.
• The collected extensive data can be pre-processed, scaled, classified, and finally, used for predicting future events using machine learning (ML) methods.