The 2nd Workshop on Integrating Edge Intelligence and Large Model in Next Generation Networks (IEILM 2025) Organized in conjunction with IEEE International Conference on Computer Communications
IEILM 2025
- URL: https://infocom2025.ieee-infocom.org/2nd-workshop-integrating-edge-intelligence-and-large-model-next-generation-networks-ieilm-call
- Event Date: 2025-05-19 ~ 2025-05-19
- Submission Date: 2025-01-08
- Location: London, United Kingdom
Computer Networks & Wireless Communication
Edge Intelligence and Large Model in next generation networks are closely related to the increasing convergence of networking, artificial intelligence, and cloud-edge technologies. As cloud-edge computing gains momentum, the demand for intelligent, context-aware, and efficient networking solutions is rising. The integration of edge intelligence and large models enables networks to become more adaptive, self-optimizing, and responsive to user and application needs.
The 2nd Workshop on Integrating Edge Intelligence and Large Models in Next Generation Networks provides a forum that brings together industry and academia, engineers, and researchers to discuss up-to-date developments in integrating edge intelligence and large models in Large AI models. The workshop invites submissions of unpublished works on (but not limited to) the following topics:
- End-to-end semantic communication systems
- Microdata cells/centers for integrating edge intelligent and semantic communications
- Large AI models for multi-task intelligent mobile edge computing
- Distributed learning architectures for semantic communications
- Generative AI for next generation networks
- Architectures and protocols for integrating semantic and large models
- Designs and optimizations for integrating semantic and large models
- Energy-efficient hardware, software, networks and services with edge intelligence
- Integrating edge intelligence and large models in future networks
- Cache-enabled networks with semantic communications
- Large models for multimedia services
- Network functions virtualization (NFV) for cloud-edge networks
- Efficient reasoning of large models by Edge Intelligence
- Deploying large models for cloud-edge networking
- Distributed and power-efficient training of large models in wireless networks
- The role of semantic communications/large models in emerging 6G applications
- Edge intelligent systems for semantic communication Networks
- Signal processing for integrating semantic communications
- Information-centric and content-centric networks with large models
- Interdisciplinary research for integrating edge intelligence/large models
- Information theory for integrating semantic communications, and large models
- Personalization of FL with large models in cloud-edge networks
- Overcoming data interoperability challenges using large models in cloud-edge networks
- System architectures for inference and training in cloud-edge networks
- Training on cloud/heterogeneous infrastructure with large models
Submission Details:
Papers must be formatted in the standard IEEE two-column format that is used by the INFOCOM 2025 main conference, and must not exceed six pages in length (including references). All submitted papers will go through a peer review process, and all accepted papers which are presented by one of the authors at the workshop will be published in the IEEE INFOCOM 2025 proceedings and IEEE Xplore. Please follow the submission link at https://edas.info/N33128 to submit your paper through EDAS.
Important Dates:
Submission Deadline: January 8, 2025
Notification of Acceptance: February 5, 2025
Camera Ready: February 26, 2025 (Firm Deadline)
Workshop: May 19, 202
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