SafeLM: Unified Privacy-Aware Optimization for Trustworthy Federated Large Language Models
arXiv:2604.16606v1 Announce Type: cross
Abstract: Large language models (LLMs) are increasingly deployed in high-stakes domains, yet a unified treatment of their overlapping safety challenges remains lacking. We present SafeLM, a framework that jointl…