Artificial Intelligence (AI) in Collective Computing

The integration of artificial intelligence (AI) with collective computing represents a paradigm shift in how data is processed, decisions are made, and intelligence is distributed across networks of interconnected systems. Collective computing combines the strengths of AI with collaborative, decentralized networks, allowing multiple agents—whether they are IoT devices, autonomous robots, or cloud-based services—to work together seamlessly. This approach can scale effectively, adapt to changing conditions, and deliver real-time insights, making it suitable for complex systems like smart cities, healthcare networks, environmental monitoring, and large-scale industrial operations.

This special session provides a comprehensive introduction to AI-powered collective computing, emphasizing both foundational concepts and innovative applications. Attendees will explore emerging technologies, research breakthroughs, and practical frameworks that make collective computing increasingly viable in today's interconnected world. Through lectures, demonstrations, and discussions, participants will gain a deep understanding of how to design, deploy, and manage distributed AI systems to enhance collective intelligence and optimize decision-making.

Topics of interest:
The special section seeks original contribution in, but not limited to, the following topics:

• Distributed and Decentralized AI Architectures
• Swarm Intelligence and Multi-Agent Systems
• Swarm Intelligence and Evolutionary Computation
• Computational Collective Intelligence
• AI for Knowledge Integration and Social Network Analysis
• Federated Learning and Privacy-Preserving Collaboration
• Edge and Cloud Integration for AI Workflows
• Resilience and Fault Tolerance in Collective AI Systems
• Autonomous Collaboration and Decision-Making in Dynamic Environments
• Collective Learning and Knowledge Sharing Across Agents
• AI in Blockchain and Decentralized Finance (DeFi)
• Human-in-the-Loop Collective Systems
• Ethics and Governance in Collective AI Systems

Session Co-chairs:

• Dr. Luong Vuong Nguyen. FPT University, Vietnam
• Dr. Dai Tho Dang. Vietnam - Korea University of Information and Communication Technology, The University of Danang, Danang, Vietnam
• Prof. Sungyeop Jung. Korea University, South Korea
• Prof. O-Joun Lee. Catholic University of Korea, South Korea

Important dates: As of the main tracks
Contact: Dr. Luong Vuong Nguyen (vuongnl3@fe.edu.vn)