Model Multiplicity for Adversarial Detection in Small Language Model Training on Edge Devices 事件

Model Multiplicity for Adversarial Detection in Small Language Model Training on Edge Devices arXiv:2606.07857v1 Announce Type: cross Abstract: The rise of edge-based machine learning has enabled distributed adaptation of language models across mobile and IoT devices, offering privacy preservation and real-time responsiveness. However, distributed fine-tuning of language models on untrusted or heterogeneous edge nodes introduces new vulnerabilities. Compromised or unreliable devices can inject