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********International Workshop on Agentic AI and LLMs in the Computing Continuum (AI-CC 2025)********</div>
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In conjunction with the 18th IEEE/ACM International Conference on Utility and Cloud Computing (UCC2025)</div>
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December 1-4, 2025 (TBA), Nantes, France</div>
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https://sites.google.com/view/ai-cc25/home</div>
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INTRODUCTION</div>
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The emergence of Large Language Models (LLMs) and agentic AI systems has been dramatically impacting numerous domains and aspects of daily life — ranging from education, healthcare, and creative industries to customer service, scientific research, and decision-making
in enterprises — while also placing unprecedented demands on the computing infrastructures required to support such intelligent systems across diverse environments. Shifting these systems from traditional cloud data centers toward the edge of the network is
essential to address limitations related to latency, scalability, and privacy. However, deploying and orchestrating complex intelligent systems — such as agentic workflows, and LLMs and/or Small Language Models (SLM) obtained through fine tuning— across the
heterogeneous and dynamic Computing Continuum remains a significant research and engineering challenge, particularly with respect to cost-efficiency, sustainability, and end-to-end scalability. By looking at the integration of advanced AI services within complex,
heterogeneous, and dynamic execution environments, the AI-CC 2025 workshop will bring together researchers and practitioners from systems, cloud/edge computing, distributed AI, and ML systems communities, sparking discussion on the next frontier of cloud computing
technologies.</div>
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TOPICS OF INTEREST</div>
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* Architectures for deploying LLMs and agents across the Edge-Cloud Continuum</div>
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* Large Language Models requirements for the computing continuum</div>
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* Agentic AI systems: architectures, workflows, deployment</div>
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* Distributed and federated LLM and SML inference servingsystems</div>
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* Energy-, QoS- and cost-aware *LM AI inference in the Continuum</div>
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* Security, trust, and data privacy for *LM and generative AI in distributed AI systems </div>
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* Generative AI for designing and managing continuum software</div>
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* Integration of Machine Learning and AI applications with *LM, Generative AI and agentic systems in the continuum</div>
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IMPORTANT DATES</div>
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Paper Submission Deadline: 18th October 2025</div>
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Author Notification Deadline: 13th November 2025</div>
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Camera-ready & Registration: 15th November 2025</div>
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Workshop: December 1-4, 2025 (TBA)</div>
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SUBMISSION GUIDELINES</div>
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Authors are invited to submit original, unpublished papers that are not being considered in another forum. We solicit full papers (max. 6 pages) as well as short and demo papers (max. 4 pages). Page limits include all figures, tables, and references.</div>
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Short papers can include reports about research activities not mature enough for a full paper as well as new ideas and vision papers. </div>
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All submissions must conform to the ACM double-column format. Your submission is subject to a determination that you are not under any sanctions by ACM. </div>
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Each paper submission will be reviewed by at least three members of the program committee. Papers can be submitted via HotCRP.</div>
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Papers will be published by ACM. At least one author of each accepted paper is required to attend the workshop and present the paper in person, registering under the full (non-student) rate. All workshop participants must register under the UCC 2025 conference
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WORKSHOP CO-CHAIRS</div>
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Danilo Ardagna, Politecnico di Milano (Italy), danilo.ardagna@polimi.it </div>
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Valeria Cardellini, Tor Vergata University of Rome (Italy), cardellini@ing.uniroma2.it</div>
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Parijat Dube, IBM (USA), pdube@us.ibm.com </div>
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PROGRAM COMMITTEE CO-CHAIRS</div>
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Federica Filippini, University of Milano-Bicocca (Italy), federica.filippini@unimib.it </div>
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Gabriele Russo Russo, Tor Vergata University of Rome (Italy), russo.russo@ing.uniroma2.it</div>
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PUBLICITY CHAIRS</div>
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Marco Garlini, Politecnico di Milano (Italy), marco.garlini@polimi.it </div>
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Zahra Sadat Seyedi, Politecnico di Milano (Italy), zahara.sadat@polimi.it </div>
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PC COMMITTEE</div>
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