Neuromorphic Wireless Device-Edge Co-Inference: Efficient Semantic Communication via Directed Information Bottleneck

A novel hybrid neuromorphic-classical communication and computation architecture for device-edge co-inference that targets energy efficiency at the end device, while leveraging the computational power of the edge, using a directed information bottleneck design criterion.