The 2022 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 2022. This workshop aims at providing new perspectives on the roles of wireless communications for distributed intelligent systems, including distributed sensing, information processing, automatic control, learning, and inference. 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).

We invite submissions of original work on both theoretical and practical aspects of distributed intelligence over wireless networks. The related topics 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 design for distributed machine learning (ML)

• Communication and signal processing for wireless edge intelligence

• Consensus-based distributed ML over wireless networks

• Communication design for large autonomous systems

• Over-the-Air (OtA) computation for distributed learning/estimation/inference

• Signal processing for OtA aggregation

• Multi-agent reinforcement learning in wireless networks

• Privacy and security aspects of decentralized ML over wireless networks

• Robustness in distributed sensing, learning and inference

• Fundamental limits of decentralized ML

Keynote Speakers:

• Prof. Yonina C. Eldar, Weizmann Institute of Science, Israel

• Prof. Shuguang Cui, The Chinese University of Hong Kong (Shenzhen), China

Workshop Co-Chairs

• Dr. Zheng Chen, Linköping University, Sweden

• Dr. José Mairton B. da Silva Jr., Princeton University, USA and KTH Royal Institute of Technology, Sweden

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

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

Advisory Board

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

• Prof. H. Vincent Poor, Princeton University, USA