Device Edge AI: Building Tomorrow's Collaborative Networks
In traditional artificial intelligence architectures, data flows continuously from terminal devices——such as smartphones, IoT sensors, and autonomous vehicles——to distant cloud data centers for processing. However, with the explosive growth of IoT devices globally, this ‘cloud-centric’ model is facing severe bottlenecks: network bandwidth saturation, transmission latency, and privacy vulnerabilities. To break through these limitations, Device Edge AI has emerged. Moving away from isolated cloud reliance, it introduces Collaborative Networks that enable edge devices to interact intelligently and share computational workloads locally. ...