نسخة أولية وصول مفتوح
FAVoR: Measuring and Mitigating Author-Style Homogenization in Federated Personalized Generation
Large language models are increasingly used as personalized writing assistants, but adapting a model across many authors can compromise individual writing style by pulling author-specific signals toward a shared register. Federated parameter-efficient fine-tuning (PEFT) offers a data-local setting for this multi-author …