Hua-Cai Chen

EASE-CloudNet: Adaptive Safety Alignment for Edge–Cloud SLMs via GNN-Informed Selective Reasoning and Multi-Objective Distillation

EASE-CloudNet is a two-phase safety-alignment framework for generative small language models (SLMs) deployed on resource-constrained edge nodes that formulate deployment cost as a differentiable gate-conditioned expectation, so measured latency and energy constants affect the router through its reasoning probability.