Embedded Files
TrustFedEdge-IoT 2026 invites original research and practical contributions on trustworthy, distributed, and resource-efficient intelligence for IoT ecosystems. Topics include, but are not limited to:
Federated and Collaborative IoT Intelligence
Federated and Collaborative IoT Intelligence
Federated, decentralized, split, swarm, and collaborative learning for IoT
Personalized, hierarchical, asynchronous, and cross-silo federated learning
Learning with non-IID, imbalanced, and distributed IoT data
Client selection, contribution assessment, reputation, and incentive mechanisms
Communication- and energy-efficient federated learning
Federated continual, transfer, reinforcement, and multimodal learning
Collaborative intelligence across the device–edge–cloud continuum
Generative AI and Edge Intelligence
Generative AI and Edge Intelligence
Generative AI, foundation models, and large language models for IoT
Edge deployment, adaptation, and fine-tuning of foundation models
Federated fine-tuning of language and multimodal models
Small language models and lightweight generative models for IoT devices
Intelligent agents and autonomous orchestration for IoT environments
Security, Privacy, and Trust
Security, Privacy, and Trust
Privacy-preserving learning and analytics for IoT
Adversarial robustness and anomaly detection in IoT networks
Zero-trust architectures for intelligent IoT systems
Lightweight authentication, identity, and access-control mechanisms
Security of AI-enabled IoT and cyber-physical systems
IoT Applications and Validation
IoT Applications and Validation
Smart healthcare and the Internet of Medical Things
Privacy-preserving clinical and healthcare analytics
Industrial IoT and intelligent production systems
Smart cities, smart homes, and connected infrastructure
Environmental sensing and disaster-response systems
Digital twins and intelligent cyber-physical systems
Instructions for Authors
Authors should submit their papers through the IoT 2026 EasyChair submission system.
Submitted papers must be written in English, and contain original material that has not been published or is currently undergoing review elsewhere. Papers should not exceed 8 double-column pages, including figures, plus unlimited pages for references. Papers must use the new ACM article template (when using the overleaf ACM template, choose the sample-sigconf.tex file).
Papers will be peer-reviewed by at least three experts from the technical programme committee following a double-blind review process (i.e., the identity of the reviewer and the authors’ names and affiliations are hidden. Therefore, the submissions should be anonymized). The papers will be evaluated based on relevance, soundness, novelty, practical relevance and potential impact.
The proceedings of this workshop will be published in the ACM International Conference Proceedings Series (ICPS) and will be made available through the ACM Digital Library. Moreover, accepted workshop papers will be published in the companion proceedings of IoT 2026, alongside the conference’s main proceedings and will be made available through the ACM Digital Library.
Cases of plagiarism or multiple submissions will be subject to disciplinary action per ACM rules and regulations. Selected papers might be invited to extend and improve their contributions to Special Issues under consideration. Based on reviews, some accepted papers may be recommended for presentation as a poster rather than a full paper presentation. These papers will be shared in conference companion proceedings.
We expect all submissions to adhere to the ACM Policy on Authorship and use of large language models (LLMs) and generative AI.
Page updated
Google Sites
Report abuse