Xinyue Zhang

FedMTFI introduces a novel federated learning framework that uses multi-teacher knowledge distillation and feature importance to improve model performance and robustness in heterogeneous and non-IID data environments.

The paper introduces the concept of Search-Time Contamination (STC), demonstrating that deep research agents can leak information from public benchmarks via web search, leading to an overestimation of their true reasoning ability.