Editorial
Open Access
Editorial: Trustworthy AI Governance, Secure Edge Computing, and Reliable Model Adaptation
1
The Network and Data Security Key Lab of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 610054, China
* Corresponding Author:
Hu Xiong,
[email protected]
Volume 2, Issue 3
2026
Received: 25 September 2026
Accepted: 27 September 2026
Published: 28 September 2026
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CC BY 4.0 License
Article Information
Published in
Journal of Reliable and Secure Computing
Volume/Issue
Volume 2, Issue 3, 2026
Pages
233-235
Abstract
This editorial introduces four papers in Volume 2, Issue 3 of the Journal of Reliable and Secure Computing, covering trustworthy AI governance, secure edge computing, federated fine-tuning, and outsourced LoRA adaptation.
Keywords
editorial
reliable and secure computing
Data Availability Statement
Not applicable.
Funding
This work was supported without any funding.
Conflicts of Interest
Hu Xiong served as a Co-Editor-in-Chief of the Journal of Reliable and Secure Computing at the time of manuscript submission. To ensure the integrity of the peer-review process, Hu Xiong was not involved in the editorial handling, peer review, or decision-making process for this manuscript, which was handled independently by another editor.
AI Use Statement
The author declares that no generative AI was used in the preparation of this manuscript.
Ethical Approval and Consent to Participate
Not applicable.
References
- Sun, F. (2026). Data Governance and Policy Support for Secure AI-Driven Corporate Digital Transformation. Journal of Reliable and Secure Computing, 2(3), 164-178.
[CrossRef] [Google Scholar] - Alam, M. (2026). Paying for Trust at the Edge: Secure, Lightweight, Deadline-Aware Named Data Networking for Edge-Cloud Compute Orchestration. Journal of Reliable and Secure Computing, 2(3), 212-232.
[CrossRef] [Google Scholar] - Shen, Y., Liu, X., Yang, Y., & Lv, H. (2026). Federated Fine-Tuning of Large Language Models on Resource-Constrained Clients: Technical Approaches, Resource Costs, and Applicability. Journal of Reliable and Secure Computing, 2(3), 194-211.
[CrossRef] [Google Scholar] - Lee, L. F., Chang, Y. Y., & Yeh, K. H. (2026). TrustCompute: Result Validation, Reputation-Aware Scheduling and Quality-Based Payments for Outsourced LoRA Fine-Tuning. Journal of Reliable and Secure Computing, 2(3), 179-193.
[CrossRef] [Google Scholar]
Cite This Article
APA Style
Xiong, H. (2026). Editorial: Trustworthy AI Governance, Secure Edge Computing, and Reliable Model Adaptation. Journal of Reliable and Secure Computing, 2(3), 233-235. https://doi.org/10.62762/JRSC.2026.964149
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TY - JOUR AU - Xiong, Hu PY - 2026 DA - 2026/09/28 TI - Editorial: Trustworthy AI Governance, Secure Edge Computing, and Reliable Model Adaptation JO - Journal of Reliable and Secure Computing T2 - Journal of Reliable and Secure Computing JF - Journal of Reliable and Secure Computing VL - 2 IS - 3 SP - 233 EP - 235 DO - 10.62762/JRSC.2026.964149 UR - https://www.icck.org/article/abs/JRSC.2026.964149 KW - editorial KW - reliable and secure computing AB - This editorial introduces four papers in Volume 2, Issue 3 of the Journal of Reliable and Secure Computing, covering trustworthy AI governance, secure edge computing, federated fine-tuning, and outsourced LoRA adaptation. SN - 3070-6424 PB - Institute of Central Computation and Knowledge LA - English ER -
BibTeX Format
Compatible with LaTeX, BibTeX, and other reference managers
@article{Xiong2026Editorial,
author = {Hu Xiong},
title = {Editorial: Trustworthy AI Governance, Secure Edge Computing, and Reliable Model Adaptation},
journal = {Journal of Reliable and Secure Computing},
year = {2026},
volume = {2},
number = {3},
pages = {233-235},
doi = {10.62762/JRSC.2026.964149},
url = {https://www.icck.org/article/abs/JRSC.2026.964149},
abstract = {This editorial introduces four papers in Volume 2, Issue 3 of the Journal of Reliable and Secure Computing, covering trustworthy AI governance, secure edge computing, federated fine-tuning, and outsourced LoRA adaptation.},
keywords = {editorial, reliable and secure computing},
issn = {3070-6424},
publisher = {Institute of Central Computation and Knowledge}
}
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Copyright © 2026 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
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