Energy-Efficient Continual Learning for Fault Detection in IoT Networks

This research explores a crucial area: energy-efficient AI in IoT. The study's focus on continual learning for fault detection addresses the need for adaptable and resource-conscious solutions.

• •Addresses the need for efficient AI in resource-constrained IoT environments.
• •Investigates continual learning approaches for adaptive fault detection.
• •Focuses on link-aware and energy-frugal techniques.