Vũ Khánh on Muck Rack

Vũ Khánh

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Vũ Khánh’s Biography

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Repairing and installing garage doors are services that are offered by garage door companies. The customer has the option to repair the garage door or replaceit with a new one. The doors of any building can be made with wood or metal. Both of them get damaged as the time goes by. Even though severaltechnological advances have improved the quality of materials, it's natural that they will lose their strength over time and become prone lớn wear andtear more easily. So they need to be replaced aft…

Articles

Digital Twin in Industries: A Comprehensive Survey

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By Vu Khanh, Vũ Khánh, Bokhtiar Al
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2411.01312] From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks

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By Vu Khanh, Vũ Khánh, Nguyen Minh, Nguyễn Quang Minh, Tran Thi
| arxiv.org
[Submitted on 2 Nov 2024] Title:From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks View a PDF of the paper titled From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks, by Vu Khanh Quy and 8 other authors View PDF HTML (experimental) Abstract:6G wireless networks are expected to provide seamless and data-based connections that cover space-air-ground and underwater networks.
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Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness

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By Senthil kumar, Vu Khanh, Vũ Khánh
| arxiv.org
[Submitted on 1 Sep 2024] Title:Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness View a PDF of the paper titled Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness, by Senthil Kumar Jagatheesaperumal and 5 other authors View PDF HTML (experimental) Abstract:Federated Learning (FL) represents a paradigm shift in machine learning, allowing collaborative model...
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