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Vu Nguyen

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Articles

Computer Science > Machine Learning

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By Van Thieu, Ti Em Ti, Vu Nguyen
| arXiv
Reliable access selection in dynamic and heterogeneous indoor-outdoor environments is challenging because instantaneous radio measurements alone cannot capture future QoS degradation caused by mobility, blockage, traffic load, and resource competition. This paper proposes FedQoS, a federated QoS-risk learning framework for predicting the future reliability of candidate access links and supporting access-node selection without centralizing user-level network data.
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Computer Science > Machine Learning

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By Van Thieu, Ti Em Ti, Vu Nguyen
| arXiv
Wireless Internet-of-Things (IoT) edge networks require decentralized learning (DecL) methods that can operate reliably under both heterogeneous local data and communication-constrained wireless links. However, existing decentralized optimization schemes often incur substantial communication overhead and degraded performance when transmissions are constrained by strict airtime budgets, fading channels, and packet losses.
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AI Ransomware Hits Manufacturing Hardest

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By Paul Viorel, Matt Wiseman, Vu Nguyen
| IIoT World Verified
Manufacturing is the most targeted sector for ransomware, with attacks rising 56% year over year, according to OPSWAT. Verizon’s 2025 Data Breach Investigations Report recorded 1,607 confirmed breaches in manufacturing, an 89% increase.
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