Characterizing Recoverable Expert-Utilization Signatures in Fine-Tuned Mixture-Of-Experts LLMs

As Mixture-of-Experts MoE large language models are increasingly deployed in distributed environments, from federated learning to edge-cloud systems, their architecture harbors an underexplored landscape of security vulnerabilities. Moving beyond textual analysis, we uncover structural...