Hao Lu

Multi-objective reinforcement learning scheduling framework for heterogeneous AI chips: Energy-efficient and latency-aware edge-cloud collaboration

The results indicate that task-aware objective adaptation and chip-level control can reduce wasteful offloading and thermal stress while preserving service timeliness.