Author

Rong-Hua Xu

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Preprint Aug 2026

Keyed Provenance Watermarking with Complementary Lattice-Based Secure Aggregation for Federated Learning

Federated learning (FL) is vulnerable to multi-level attacks. However, existing methods address them separately, leaving FL exposed to data leakage, unauthorized reuse, and malicious gradient manipulation. In this work, we propose an FL framework that couples keyed context-provenance watermarking with verifiable lattic...

Xin-Yun Liu, Zhi Lu, Yu Chen et al. · 0 citations

Conference Aug 2026

Agentic AI-driven Immersive Simulation: A Knowledge-Aware Virtual Training Platform for High Dose Rate (HDR) Brachytherapy

The convergence of the Metaverse and Large Language Model (LLM)-based AI agent is catalyzing a shift toward autonomous, immersive, and personalized pedagogical frameworks in medical education. This paper presents a novel agentic AI-driven immersive simulation specifically designed for High Dose Rate (HDR) vaginal cylin...

Rong-Hua Xu, Kepha Barasa, Manoj Kumal et al. · IEEE/ACM International Confe... · 0 citations

#artificial intelligence Preprint Sep 2026

DART: A DAG-Based Reputation and Incentive Framework via Blockchain-Enabled Governance for Trustworthy LLM Multi-Agent Collaboration

Large language model (LLM)-based multi-agent systems (MAS) predominantly rely on centralized orchestration and lack formal verification mechanisms for agent reliability, participation, and system-level behavioral alignment. These shortcomings leave open environments severely vulnerable to uncooperative or malicious age...

M. Kumala, Xinyun Liua, Rong-Hua Xu · 0 citations