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Jie-Lun Zhang

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Open access 2026

Collaborative Log Anomaly Detection Using LLM With Privacy-Constrained Retrieval

Log anomaly detection plays a critical role in maintaining the reliability and security of large-scale distributed systems. However, centralized solutions often pose privacy and scalability concerns, especially when logs are generated and stored across multiple, isolated nodes. In this paper, we propose a distributed f...

Jie-Lun Zhang, Fu-Hao Li · 0 citations
Conference Aug 2026

Sparse Residual Component Selection for Low-Complexity CSI Feedback in Massive MIMO

Efficient and reliable transmission of channel state information (CSI) is crucial for maintaining optimal performance in massive multiple-input multiple-output (MIMO) wireless communication systems. However, the feedback overhead remains a significant challenge, particularly in frequency division duplex (FDD) systems w...

Prakash Heramil, Hong-Yu Wu, Jie-Lun Zhang et al. · 0 citations
Open access Jun 2026

A blockchain-enabled hybrid intrusion detection framework for resource-constrained devices

This work presents a lightweight, blockchain-secured distributed IDS for IoT networks that combines anomaly-based detection using federated learning, Snort-based signature detection, and host-based log analysis with transformer models and mitigates the impact of malicious updates.

Charles Stolz, Jielun Zhang · 0 citations

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