Tag: depthwise separable convolution

A collaborative edge federated learning model cut threat detection latency and resisted data poisoning across simulated multi-factory test environments.

Researchers in China have developed MSEA, a CLIP-based framework that combines multi-scale convolutions and efficient linear attention to achieve record ...

Researchers at Aston University have created SEdgeNet, a graph neural network that recognises human activities from sparse millimetre-wave radar point ...