GRACE-FL: Green Resource-Aware Communication-Efficient Federated Learning

GRACE-FL is a framework for federated learning (collaborative training where multiple devices learn together while keeping their data private) that reduces energy use and communication costs on resource-limited devices like smartphones or IoT sensors. The system adjusts each device's training settings based on how much battery or power it has available, so devices with more energy can do harder computational work while weaker devices do lighter work, and a special aggregation strategy (method for combining results) weights each device's contribution fairly based on its energy capacity.