Yijun Liu

Robust memory interventions in LLMs can achieve up to 3.7 percentage points of improvement when guided by a dual-loop diagnostic protocol that localizes errors effectively.

Tailoring compression strategies to individual client capabilities can cut communication overhead in federated learning by a significant margin.