Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT)

Artificial intelligence (AI) and machine learning (ML) are key enabling technologies for many Internet of Things (IoT) applications. However, the collection and processing of data for AI and ML is very challenging in the IoT domain. For example, there are usually a large number of low-powered sensors deployed in large geographical areas with possibly intermittent network connectivity. The sensors and their collected data may be owned by different users or organizations, which can bring further obstacles to data collection due to privacy concerns and noisy labels provided by different users. The successful application of AI/ML approaches in such scenarios with noisy and decentralized data is difficult. In addition, the amount of collected data that can be used for training AI/ML models is usually proportional to the number of users in the system, but the system may not be able to attract many users without a well-trained AI/ML model, and it is challenging to solve this dilemma.

This workshop focuses on how to address the above and other unique challenges of applying AI/ML in IoT systems.

We invite researchers and practitioners to submit papers describing original work, experiences, or vision related to the entire lifecycle of an IoT system powered by AI and ML, including (but not limited to) the following topics:

Submissions focusing on specific IoT applications and generic IoT systems are both welcome. We specifically encourage papers with forward-looking ideas that may initiate new research directions. We solicit the following types of submissions:

Submitted papers should be previously unpublished and not currently under review by another conference or journal. All accepted regular papers and vision/position papers will be published in the conference proceedings and the ACM Digital Library.

All submissions should use the double column ACM proceedings format. The ACM template is available at: LaTeX submissions should use the acmart.cls template (sigconf option), with the default 9-pt font. This format will be used also for the camera-ready version of accepted regular and vision/position papers. The submissions should include authors’ names and affiliations (i.e., not be double-blind). Submissions will be reviewed by the program committee for novelty, relevance, and quality. At least one of the authors of every accepted paper/presentation must register and present the work at the workshop. Submissions should be in Adobe Portable Document Format (PDF).

The organizing committee will select a best paper award among submitted papers, which will be announced at the workshop.

The link for submission is:

Important Dates