The convergence of Generative AI (GAI) Models (e.g., LLMs) and Computer Networking has reached a critical inflection point, transitioning from heuristic-based management to proactive, intent-driven, and autonomous network operations. Concurrently, the explosive growth of Autonomous Agent ecosystems (such as open-source agent frameworks) introduces unprecedented paradigms of machine-to-machine interaction. These multi-agent systems generate highly complex, latency-sensitive Agent-to-Agent (A2A) traffic, imposing fundamental challenges on existing network infrastructures.

This special session seeks to bridge the gap between advanced GAI and network technologies. We solicit original, high-quality research that explores both "GAI/Agents for Networking" (leveraging GAI models to rethink network architecture, security, and control) and "Networking for GAI/Agents" (designing scalable protocols and infrastructure to support massive-scale model training and distributed agentic workflows).

 

Topics of Interest:
We welcome submissions encompassing theoretical foundations, system architectures, protocol designs, and empirical evaluations. Topics of interest include, but are not limited to:

• Traffic Characterization and Protocol Design for Multi-Agent Systems;
• High-Performance Infrastructure for Distributed AI;
• Network Isolation and Security Boundaries for Agentic Networks;
• Provably Safe Network Configuration and Intent Translation;
• Zero-Shot Anomaly Detection and Security Analytics;
• High-Fidelity Network Digital Twins via Generative Models;
• Federated Learning and Privacy-Preserving Protocols in the LLM Era;

• Autonomous Network Troubleshooting and Root Cause Analysis;

 

Submit Method:
1, submit it via the link: http://confsys.iconf.org/submission/seai2026 (after entering the link, click on the corresponding topic)
2, send your manuscript to seai_conf@163.com with subject "Submit+Special Session-1+Paper Title". (请通过邮件发送稿件，邮件题目：Submit+Special Session-1+Paper Title)

 

Topic chairs:

Dr. Hongyan Liu, Fuzhou University, China

Biography: Hongyan Liu received his Ph.D. in Cybersecurity from Zhejiang University in 2025 and is currently a Lecturer in the College of Computer and Data Science at Fuzhou University. He is also affiliated with the Fujian Provincial Key Laboratory of Network Systems and Information Security. His research focuses on the intersection of programmable networks, network measurement, and AI infrastructure. Dr. Liu has published papers in academic venues including ACM SIGCOMM, IEEE INFOCOM, and IEEE/ACM ToN. Furthermore, he is deeply engaged in the academic community, actively serving as a reviewer for journals such as IEEE TKDE, IEEE TDSC, and IEEE/ACM ToN.

Assoc. Prof. Jianshan Zhang, Minjiang University, China

Biography: Jianshan Zhang is an Associate Professor with the School of Computer and Big Data at the Minjiang University. He received his Ph.D. degree in Computer Science from Fuzhou University in 2023. He has also been a part of the Fujian Key Laboratory of Network Computing and Intelligent Information Processing at Fuzhou University since September 2019. His current research interests include edge computing, computational intelligence, and cloud computing. He has published 40 papers.

Dr. Ming Li, Minjiang University, China

Biography: Ming Li received his Ph.D. degree in Computer Science from Fuzhou University in 2025. Currently, he is a Lecturer with the School of Computer and Big Data at Minjiang University. He has also been a part of the Fujian Key Laboratory of Network Computing and Intelligent Information Processing at Fuzhou University since September 2019. His research interests include edge computing, serverless computing, and AI model inference acceleration. He has published a series of peer-reviewed papers in top-tier journals, such as IEEE TMC and IEEE TII. Additionally, he actively serves as a reviewer for international journals, such as IEEE TMC, IEEE TNSE and IEEE TNSM.