Ruimin Zhang

Adaptive Dual-Layer DRL-Based AI Model Placement, Task Scheduling, and Resource Allocation for Collaborative Edge Inference and Training

In edge intelligence networks, AI model inference and training tasks coexist and complement each other. Inference tasks demand low latency and diversity to support real-time services, whereas training tasks are computationally intensive and rely on distributed user devices (UDs) data for continuous model enhancement.Ho...