Tag: edge computing

Researchers in India have developed ASHA, a federated learning algorithm that weights each client's updates by a dynamic contribution score, ...

Researchers have developed RIASO, a real-time offloading algorithm that fuses Lyapunov optimization with multi-output deep reinforcement learning to keep multi-access ...

Researchers have developed FedDeepRiskNet++, a federated learning framework that combines differential privacy, homomorphic encryption and adaptive scheduling to let hospitals ...

A redesigned YOLOv11n network recognizes lying, standing, eating and drinking in dense sheep flocks in real time while running on ...

A new study shows that adaptively fusing a closed-world classifier with an unsupervised open-set detector significantly improves detection of zero-day ...

A field-validated system combining drone multispectral imaging, explainable XGBoost AI, and edge-controlled variable-rate application cut nitrogen fertilizer use by 21.8 ...

University of Pittsburgh engineer Susan Fullerton has received a $1.35 million Moore Foundation Experimental Physics Investigator award to directly measure, ...

Researchers in Beijing have built a 0.27-megabyte transformer model that detects multi-stage APT attacks in industrial IoT telemetry with high ...

University of Arkansas researchers have developed a training-free, UAV-based adaptive sprayer that uses HSV vegetation segmentation and a weed-free soybean ...

Researchers have introduced a Riemannian manifold-based loss function that pushes multimodal Transformer models to state-of-the-art accuracy in human activity recognition ...