We invite the submission of original, high-quality research papers, compelling case studies, and insightful technical reports that address the key challenges and exciting opportunities especially in the following critical areas:

• Generative and discriminative AI/ML algorithms, agentic workflows, and AI agent orchestration for compression and semantic communication, generation of realistic synthetic data, prediction of complex relationship between variables, anomaly detection and risk mitigation: We especially seek contributions exploring the innovative use of large language models (LLMs), large concept models (LCMs), and sophisticated AI agents for advanced anomaly detection, proactive risk classification, and automated remediation strategies within mobile networks. This includes the strategic application of vector databases for enhanced threat intelligence and the leveraging of eBPF for real-time kernel telemetry and dynamic policy enforcement.

• Distributed Computing, Workflow, and Data Processing for AI Model Optimization: We encourage submissions focusing on distributed AI/ML workloads utilizing powerful frameworks like KubeRay and KubeFlow on Kubernetes, cloud-native AI model training and inference methodologies, and automated threat intelligence pipelines designed for real-time security, fault and performance data processing at scale.

• AI Workload Autoscaling, Placement, and Provisioning for Optimal Resource Utilization: We are interested in papers addressing composable disaggregated infrastructure (CDI), dynamic resource allocation (DRA) techniques, Kubernetes-based autoscaling mechanisms (HPA/VPA/CA), intelligent fine-grained AI model placement strategies, and high-performance AI workload scheduling using cutting-edge tools like Kueue, Volcano and Armada.

Specific topics of interest include, but are not limited to:
• Cloud-native network functions (CNFs) design and deployment best practices
• Microservices architecture for resilient and scalable mobile communication systems
• Containerization and orchestration with Kubernetes in demanding telecom environments
• eBPF-based networking, observability, and security solutions tailored for mobile networks
• Revolutionary AI/ML applications for network optimization, intelligent resource management, and proactive security
• The transformative potential of Generative AI for 6G: compression, semantic communication, synthetic data generation, and relationship prediction
• AI-driven anomaly detection and next-generation intrusion prevention systems
• Leveraging Kubernetes-native AI stacks for efficient deployment and scaling of AI models
• Contributions to open-source initiatives and standardization efforts in cloud-native telecom
• Rigorous performance evaluation and optimization of Cloud-AI-Native mobile communication systems
• Compelling case studies of real-world deployments and practical implementations
• Critical security considerations and robust best practices for cloud-native mobile networks
• The synergistic integration of AI and eBPF for enhanced network security and unparalleled performance
• Architectures and implementations of the Three-Layered AI-Enabled FCAPS Framework

Submission guidelines:

Paper submissions may be up to six (6) pages excluding bibliography, formatted in two-column, 10pt font IEEE format,must be prepared for a double-blind review process,and must describe original, previously unpublishedresearch and developments, not currently under reviewby another conference, workshop, or journal.
Detailed instructions can be found on the webpage.

Important dates:
• Paper registration: May 17, 2025
• Paper submission: May 31, 2025)
• Acceptance notification: July 1, 2025 (AoE)
• Camera-ready paper due: August 1, 2025 (AoE)

CAMe 2025 will be a special track of the 50th Annual IEEE Conference on Local Computer Networks (IEEE LCN).

Accepted papers will be included in the conference proceeding published in the IEEE Xplore Digital Library, showing their affiliation with IEEE LCN 2025.

Organizing Committee:

CAMe Chairs
1. David Soldani, Rakuten, Australia
2. Sudhir Dixit, Co-Founder and COO, Basic Internet Foundation, Oslo, Norway & Docent, University of Oulu, Finland
3. Alex Jinsung Choi, SoftBank, Japan
4. …

You can contact the organizers at: came.2025@gmail.com

Technical Program Committee

1. Petrit Nahi, Rakuten, Kosovo (Chair)
2. Fulvio Risso, Politecnico di Torino (POLITO), Italy
3. Albert Zomaya, University of Sydney, AU
4. Mahbub Hassan, UNSW, AU
5. Francesco Cappa, HCL, Italy
6. Andrea Colli-Vignarelli, HCL, Italy
7. Saber Jafarizadeh, Rakuten, Australia
8. Hami Bour, Rakuten, Australia
9. Giuseppe Ognibene, HCL, Italy
10. Francesco Monaco, Rakuten, Japan
11.Tony Quek, Singapore University of Technology and Design (SUTD)
12. Priya Suriya, NUS, Singapore
13. Mugdha Deokar, Carnegie Mellon University, USA
14. Sebastiano Miano, Politecnico di Milano (POLIMI), Italy
15. Aatral Arasu, Lakeba, India