The main goal of the workshop, conceived as a markedly multidisciplinary event, is to foster cross-fertilization of ideas among the areas of AI/CI and Wireless Networks (WN). Researchers and professionals working at the interface between these two fields will benefit from an event where tools and techniques from the three macro-areas of CI are investigated to address the challenges of Next Generation Wireless Networks.
The event is expected to fuel discussion in the following areas:
Next generation wireless networks
AI-enabled 6G
Edge AI
Federated Learning
Big Data and Distributed AI
Trustworthy AI
Explainable AI
AI as-a-service
The discussion is intended to cover aspects relevant to IEEE WCCI, and therefore submissions will be encouraged in (but not limited to) the following topics:
Concepts and applications of neural networks in B5G/6G networks
Concepts and applications of evolutionary computation in B5G/6G networks
Concepts and applications of fuzzy logic in B5G/6G networks
AI/CI-native B5G/6G networks: air interface design, communications mechanisms, semantic and goal-oriented communications
Distributed learning architectures: edge AI, federated learning
Big data mining for 6G
Computational Intelligence towards trustworthy AI: technical robustness and safety, privacy and data governance, transparency and explainability.
Governing AI mechanisms
Resource allocation for AI mechanisms
Sustainable AI
Performance evaluation and experimentation of AI-based solutions for B5G/6G networks