François Delmotte

AutoML-DAFL : A Drift-Aware Federated Learning Framework for Cyber-Physical Aquaculture Water Quality Monitoring

Federated Learning (FL) for Internet of Things (IoT) and cyber-physical sensor networks, such as aquaculture water monitoring, faces critical challenges due to temporal sensor drift, non-IID data distributions, and communication constraints across edge devices, which compromise global model stability and resource effic...