Workshop on Interplay of Foundation Models and Wireless Communications & Networks

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Organized in conjunction with IEEE Global Communications Conference (GLOBECOM 2025)

8–12 December 2025 Taipei, Taiwan

Scope

While recent progress in wireless communications and networks have led to significant technological transformations, it is apparent that future wireless generations are converging towards solidifying the principle of self-configured, self-evolving networks, particularly with the remarkable breakthroughs in artificial intelligence (AI) technologies. Despite the advancements toward AI-driven self-organizing communications and networks, the underlying performance is still largely dependent on predefined network conditions and their corresponding configurations, which inevitably requires cumbersome parameter tuning. Nevertheless, the ultimate vision of self-driven networks is to realize a retained network performance, maintain sustainable resilience to network variations, and design versatile networks that are capable of handling old and new network conditions and scenarios.

On the other hand, benefiting from the rapid progress and astonishing success, “sparks” of Artificial General Intelligence (AGI) are even regarded to be already present in the latest generation of Large Language Models (LLMs) and Large Vision Models (LVMs), with prominent examples like ChatGPT, Gemini, DALL-E and Sora. Meanwhile, techniques like generative Generative Adversarial Networks (GANs) and Diffusion models as well as scalable Transformers not only boost the arrival of these amazing Foundation Models (FMs), but also are seen as a transformative technology beyond shaping the AI field. FMs promise a tangible enhancement to wireless communications and networks by leveraging the generative capabilities as well as the multimodality nature of the data acquired in wireless communications and networks. Meanwhile, FM-empowered (connected) autonomous agents with embodied intelligence are expected to emerge with the astonishing capabilities of accomplishing tasks autonomously and coherently, wherein wireless communications and networks, which promise enhanced mobile broadband, massive connectivity, and ultra-reliability and low latency capability, provide essential enablers connect agents.

Given the appealing prospect, the workshop “Interplay of Foundation Models and Wireless Communications and Networks” (FMComNet) aim to solicit original completed and unpublished work covering topics of interests that include, but are not limited to:

  • Design, Training and Applications of AI models (e.g., FMs) for communications and networks

  • Communication & networking techniques for FM-based Agents

  • Learning theory for FM-based Agents

  • Security and privacy in FMComNet

  • Data collection and governance for FMComNet

  • Full-lifecycle management and orchestration of FMComNet

  • Performance evaluation metrics of FMComNet

  • Architecture and protocol design & standardization of FMComNet

Submission Procedure

Submitted papers must represent original material which is not currently under review in any other conference or journal and has not been previously published. Paper length should not exceed nine-page standard IEEE conference two-column format (including all text, figures, and references). Please see the Author Information page for submission guidelines in the IEEE GLOBECOM 2025 website https://globecom2025.ieee-globecom.org/authors/call-workshop-papers. All accepted and presented papers will be included in the IEEE GLOBECOM 2025 proceedings and IEEE digital library. IEEE reserves the right to exclude an accepted and registered but not presented paper from the IEEE digital library.

Important Dates

Paper submission deadline: 15 July 2025

Acceptance deadline: 1 September 2025

Camera ready: 1 October 2025