RMELS
2024
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The First International Workshop on Resource-efficient Mobile and Embedded LLM System in AIoT will be held in conjunction with ACM SenSys 2024.
As part of the ACM SenSys Conference, this workshop aims to address the emerging challenges and opportunities in resource-efficient mobile and embedded Deep Learning (DL) systems within the context of the Artificial Intelligence of Things (AIoT). AIoT systems represent a convergence of AI and IoT devices, enabling intelligent perception and decision-making capabilities. However, traditional IoT frameworks often operate within rigid structures, limiting adaptability and hindering effective coordination between sensing and computation, especially in dynamic environments.
This workshop focuses on enhancing the adaptability of AIoT systems through continual optimization of sensing and computing processes. By maximizing resource utilization and fostering self-evolving AIoT systems, we aim to improve real-time responsiveness and enable seamless integration of AI and IoT functionalities. The workshop seeks to explore innovative solutions that overcome the limitations of traditional IoT frameworks, paving the way for more responsive, adaptive, and intelligent AIoT systems.
Researchers, practitioners, and industry experts are invited to contribute theoretical and practical insights to this workshop. Topics of interest include but are not limited to embedded DL systems, edge computing, on-device machine learning algorithms, and methodological advancements in resource-efficient AIoT systems. Join us in addressing the challenges and opportunities in resourceefficient Mobile and Embedded Large Language Model Systems within the AIoT domain.
Formatting: Submissions should be previously unpublished, and not currently under review by another conference or journal. Papers should be submitted for consideration via the workshop website, prior to the submission deadline, and must adhere to the provided formatting guidelines. All submissions must use the LaTeX styles found here. Papers that do not meet the size and formatting requirements will not be reviewed. Please note that ACM uses 9pt fonts in all conference proceedings, and the LaTeX style implicitly defines the font size to be 9pt.
Guidelines: Technical Papers up to 6 pages (including everything except references), reporting on novel research, to be presented at the workshop as an oral presentation. The submissions are double-blind.
Submission site: HotCRP Link