IEEE Annual Congress on Artificial Intelligence of Things (IEEE AIoT)

December 14-216, 2026 · Kobe, Japan.

https://www.ieee-aiot.org/2026

TNI-AIoT: Workshop on Trustworthy Networked Intelligence for AIoT Systems

Call for Papers

AIoT systems connect sensing, learning and decision-making across devices, edge servers and cloud services. As data and models move between different organizations and computing environments, these systems face challenges in privacy protection, data integrity, model robustness and reliable coordination. Addressing these challenges requires trust mechanisms that work across the complete sensing-to-action process, rather than only within individual devices or models.

TNI-AIoT 2026 aims to bring together academic researchers, industry practitioners, PhD students and early-career researchers to discuss trustworthy networked intelligence for AIoT systems. The workshop focuses on how trust requirements can be designed, measured and maintained across data, model, network and service layers. We welcome original research, system designs, experimental studies, deployment experience, datasets and benchmarks. The planned half-day programme combines technical presentations, student lightning talks and an interactive discussion of evaluation methods and open research challenges.

We invite contributions addressing, but not limited to, the following topics:

• Trustworthy edge intelligence and cloud-edge-device coordination
• Privacy-preserving federated, split and decentralized learning for IoT
• Robust learning under adversarial, poisoning and Byzantine attacks
• Data and model provenance, integrity verification and accountable updates
• Blockchain and decentralized trust for multi-party AIoT systems
• Device identity, access control and zero-trust architectures
• Reliable foundation models and autonomous agents for AIoT
• Dependable digital twins and secure sensing-to-action processes
• Trust-aware networking, resource allocation and inference orchestration
• Explainability, risk assessment and monitoring of deployed AIoT systems
• Testbeds, datasets, benchmarks and reproducible evaluation
• Applications in industrial systems, smart cities, mobility, education and healthcare

Submissions and Formatting

We welcome regular research papers of up to six pages, including figures, tables and references, and PhD, early-career or demonstration abstracts of up to two pages. Short abstracts are intended for non-archival presentations and discussion.

Manuscripts should be written in English, use the IEEE conference two-column template and be submitted in PDF format. Regular papers must contain original work that has not been published and is not under review elsewhere. The proposed review process is double-blind: authors should remove names, affiliations, acknowledgements and other directly identifying information from the review manuscript. Each regular paper will receive at least two independent reviews based on technical quality, originality, relevance and clarity.

Accepted contributions will be presented at the workshop in Kobe. Regular-paper publication, author registration and presentation requirements will follow the arrangements agreed with IEEE AIoT 2026.

Manuscript templates can be found here. All submissions to IoT-HR must be uploaded to EasyChair at https://easychair.org/conferences/?conf=ieeeaiot2026.

Organizers

• Yinfeng Cao (HKCT Institute of Higher Education / The Hong Kong Polytechnic University, Hong Kong, China)
• Yong Ding (HKCT Institute of Higher Education, Hong Kong, China)
• Bo Qu (HKCT Institute of Higher Education, Hong Kong, China)
• Zhiyuan Wen (The Hong Kong Polytechnic University, Hong Kong, China)
• Mingjin Zhang (The Hong Kong Polytechnic University, Hong Kong, China)

Important Dates

• 30 Oct 2026 - Paper and contribution submission
• 7 Nov 2026 - Notification of acceptance
• 16 October 2026 - Camera-ready submission

Submission Link

https://easychair.org/conferences/?conf=ieeeaiot2026

Contact

Yinfeng Cao csyfcao@comp.polyu.edu.hk