The 2023 IEEE GLOBECOM workshop on “Wireless Communications for Distributed Intelligence” will be held in the warm and exciting city of Rio de Janeiro, Brazil, in December 203. This workshop aims at covering both theoretical and practical perspectives of distributed wireless intelligence. Although in recent years, machine learning in wireless networks has attracted significant attention in our community, most of the research papers and organized workshops fall in the category of “machine learning for wireless” instead of “wireless for machine learning” which is the focus of this workshop. This is an emerging research area with high relevance and importance for wireless service in the era of connected intelligence and massive Internet-of-Things (IoT).

Related topics of this workshop include but are not limited to the following:

• Network architecture and protocol design for AI-enabled 6G

• Communication and energy efficiency in distributed intelligent systems

• Cross-layer (PHY, MAC, network layer) design for distributed ML

• Communication and signal processing for wireless edge intelligence

• Consensus-based distributed ML over wireless networks

• Communication design for wireless autonomous systems

• Over-the-air (OTA) computation for distributed learning/estimation/inference 

• Emerging PHY technologies for OTA aggregation

• Multi-agent reinforcement learning in wireless networks

• Privacy and security issues of decentralized ML

• Robustness in distributed sensing, learning and inference

• Fundamental limits of decentralized ML over wireless networks

Keynote Speakers:

• TBA

Workshop Co-Chairs

• Dr. Zheng Chen, Linköping University, Sweden

• Dr. José Mairton B. da Silva Jr., Uppsala University, Sweden

• Prof. Carlo Fischione, KTH  Royal Institute of Technology, Sweden

• Prof. Osvaldo Simeone, King’s College London, UK

• Prof. Erik G. Larsson, Linköping University, Sweden