IEEE International Conference on Communications
16–20 May 2022 // Seoul, South Korea // Hybrid: In-Person and Virtual Conference
Intelligent Connectivity for Smart World

WS-17: Workshop on Edge Artificial Intelligence for 6G

6G will revolutionize the evolution of wireless from “connected things” to “connected intelligence”. By embedding model training and inference capabilities into the network edge, edge artificial intelligence (AI) stands out as a disruptive technology for 6G to seamlessly integrate sensing, communication, computation, and intelligence, thereby improving the efficiency, effectiveness, and trustworthiness of 6G networks. Edge AI will accelerate the evolution of sensing capabilities, communication strategies, network optimizations, and application scenarios. However, edge AI will cause task-oriented data traffic flows over networks, for which disruptive communication techniques, efficient resource allocation methods and holistic system architectures need to be developed. The challenges for building edge AI ecosystems are multidisciplinary spanning wireless communications, machine learning, operation research, domain applications, regulations and ethics. The goal of this workshop is to bring together researchers and experts from academia and industry to consider edge AI opportunities across theoretical, algorithmic, systematic, and entrepreneurial considerations to embrace the exciting era of edge AI.
We seek original completed and unpublished work not currently under review by any other journal/magazine/conference. Topics of interest include, but are not limited to:
•    Edge learning models, algorithms and architectures
•    Federated learning, analytics and optimization
•    Communication-efficient edge training/inference systems
•    Wireless network techniques for edge training
•    Task-oriented communication and model compression for edge inference
•    Short-packet communication for edge inference
•    Service-driven network resource allocation for edge AI systems
•    Joint sensing, computing, caching, communication for edge AI
•    Privacy, security, interpretability and optimality in edge AI
•    Theoretical performance analysis for edge AI systems
•    Learning to optimize edge AI systems
•    Edge AI empowered wireless network design and optimization
•    Edge AI for intelligent radio resource allocation and signal processing
•    Software platform, hardware platform, and application scenario for edge AI
Important Dates
Paper submission due: January 20, 2022
Notification of acceptance: March 06, 2022
Camera-ready papers: March 15, 2022
Submission link