
Artificial Intelligence for Wireless Communications and Networking
March 4 PM, 2025, Philadelphia, USA
Artificial intelligence (AI)/Machine learning (ML) in networked systems, is envisaged as the cornerstone of nextgeneration wireless networks. The integration of AI in 6G, in the era of generative AI, is expected to revolutionize network operations, support a wide array of intelligent services, and enable new applications that were previously not feasible. Despite its immense potential and emerging applications, several new challenges must be addressed. These challenges include the need for advanced AI models that can handle the heterogeneity of 6G networks, ensuring security and privacy, and developing efficient resource management approaches to support the demands of AI-driven applications. Addressing these issues is crucial for unlocking the full potential of AI in next-generation networks. To that end, this workshop aims to foster discussion,discovery, and dissemination of novel ideas and approaches in efficient training and robust deployment ofAI/ML models over wireless networks.. The topics of interest include (but are not limited to):
- Distributed AI/ML over wireless networks
- Information freshness in networked AI systems
- Data privacy in AI-enabled wireless networks
- Reliable and trustworthy AI services for wireless systems
- Decision-making in dynamic wireless environment
- Model inference over noisy channels
- Generative AI/foundation models for intelligent networks
- Explainable AI for semantic communications
- Novel methods for learning with limited resources
- Human-in-the-loop methods in AI-enabled networks
The workshop encourages the submission of original research papers as well as invited papers. The expected audience includes researchers, engineers, and practitioners from academia, industry, and government agencies, who are interested in exploring the potential of machine learning in advancing the state-of-the-art in wireless communications. The workshop will feature keynote talks, technical sessions, and panel discussions, providing ample opportunities for participants to exchange ideas and interact with each other.
Important Dates
- Paper Registration and Submission: November 24, 2024 (23:59 AoE)
- Notification of Acceptance: December 9, 2024 (23:59 AoE)
- Camera Ready and Registration: TBD
Planned Format and Attendee
Our half-day workshop will include keynote/invited talks, contributed paper presentations, and a poster session. We aim to accommodate an audience of up to 50 attendees.
The proposed workshop is expected to be comprised of two keynotes, followed by regular paper presentations. All presentations must be in person. Only virtual attendance will be permitted.
Submission Guidelines
- Submissions of technical papers can be up to 7 pages excluding references and appendices. Short or position papers of up to 4 pages are also welcome. All papers must be submitted in PDF format, following the AAAI 2025 format.
- Papers will be peer-reviewed (single-blind) and selected for oral and/or poster presentation at the workshop.
- The contributions will be non-archival but will be hosted on our workshop website.
Any question could contact with enquiry eamil: ai4wcn.workshop@gmail.com
Workshop Organizers
- Howard H. Yang, ZJU-UIUC Institute, Zhejiang University, China
- Zihan Chen, Singapore University of Technology and Design, Singapore
- Zuozhu Liu, ZJU-UIUC Institute, Zhejiang University, China
- Nikolaos Pappas, Department of Computer and Information Science, Linköping University, Sweden
Submission Link
Program
Date: Tuesday, March 4, 1:45-5:00pm
Place: Room 121B
Each paper will be allocated with 10(presentation) + 5 (Q&A) minutes during the sessions.
Detailed program:
1:45-2:00pm
- 2DLAM: Joint Delay-Doppler Estimation in UAV mmWave System via Large AI Model
2:00-2:15pm
- NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology Generation
2:15-2:30pm
- Look-Ahead Robust Network Optimization with Generative State Predictions
2:30-2:45pm
- Optimizing Large Language Models Assisted Smart Home Assistant Systems at the Edge: An Empirical Study
2:45-3:00pm
- Agent in the Sky: Intelligent Multi-Agent Framework for Autonomous HAPS Coordination and Real-World Event Adaptation
3:00-3:15pm
- Few-Shot Adaptive Learning for Robust Task-Oriented Semantic Communication
3:15-3:30pm
- Vision Language Models for Massive MIMO Semantic Communication
3:30-3:45pm
- Hierarchical Deep Reinforcement Learning for Adaptive Resource Management in Integrated Terrestrial and Non-Terrestrial Networks
3:45-4:00pm
- Task and Perception-aware Distributed Source Coding for Correlated Speech under Bandwidth-constrained Channels
4:00-4:15pm
- Towards Adversarially Robust Human-in-the-Loop Learning for HVAC Systems
4:15-4:30pm
- VIn-Loc: Towards Deep Learning-Based Environment Agnostic Localization
4:30-4:45pm
- Towards Automated and Interpretable Pathloss Approximation Methods
4:45-5:15pm
- Contrastive Learning Enables Low-Bandwidth Semantic Communication
- AdaptLink: A Heterogeneity-Aware Adaptive Framework for Distributed MLLM Inference
- First-order Personalized Federated Meta-Learning via Over-the-Air Computations
Notification
While we accept a flash drive to the shared laptop, itsaves a lot of time if presentations can be added ahead of your session.
Link: aaai-25-slides-upload.paperform.co/The deadline for submitting the slides or theupdated slides in
30 minutes before their scheduledpresentation. Ideally presentations will be sent the night before.
Presenters should use the shared laptop in the sessionrooms and all the presentations need to be collected and uploaded to the laptopin the relevant room. While we have the ability for personallaptops to be used, we do not recommend this as settingup the personal laptops will take time away from your session. If you must useyour own laptop, you will need to supply your own dongles or adaptor for yourmachine.