Author

Xi Chen

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#artificial intelligence Preprint Oct 2026

FedGraph: Defending Federated Large Language Model Fine-Tuning Against Backdoor Attacks via Graph-Based Aggregation

Federated fine-tuning of large language models (LLMs) allows multiple clients to collaboratively adapt models without sharing raw data, offering strong privacy benefits. However, this setting is highly vulnerable to backdoor attacks, in which malicious clients manipulate their updates to induce targeted behaviors while...

Xi Chen, Chun-Yi Zhou, Rui Zeng et al. · 0 citations

2026

PREFed: An Effective and Stealthy Static-Anchor Backdoor Attack via Trigger Pre-Optimization in Federated Learning

Existing Federated Learning (FL) backdoor attacks commonly employ round-wise proximity strategies, dynamically adapting malicious updates to mimic benign ones in order to evade detection. However, such adaptive mechanisms often introduce instability, increase computational overhead, and create temporal patterns that ma...

Xi Chen, Rui Zeng, Chun-Yi Zhou et al. · IEEE Transactions on Informa... · 0 citations

Preprint Aug 2026

GDPevo: Evaluating Agent Self-Evolution on Real Business Tasks

GDPevo is presented, an evolution-native benchmark grounded in GDP-related enterprise workflows, together with the fully automated data pipeline that generates it, and the best evolved agents remain far below the fully informed oracle ceiling, indicating that the self-evolution ability of current agents remains far fro...

Leijun Zhou, Zhihao Liu, Xiang Qu et al. · 1 citation