Federated Learning and Intelligent Computing Systems (FLICS2027)

The Federated Learning and Intelligent Computing Systems (FLICS) symposium brings together researchers, practitioners, and industry leaders to explore the convergence of federated learning with intelligent computing systems, edge AI, and autonomous workflows.

As we advance toward 6G networks, pervasive edge intelligence, and decentralized cyber-physical systems, the need for collaborative, privacy-preserving learning approaches has never been more critical.

Our conference focuses on the intersection of federated learning systems with emerging intelligent computing paradigms, including agentic AI workflows, edge intelligence, digital twin technologies, mobile computing, and distributed machine learning.

We aim to address the fundamental challenges of engineering and deploying scalable, secure, and efficient federated learning systems across diverse computational environments in various application domains, including health, energy management, industrial automation, and smart cities.

FLICS 2027 provides a unique platform for interdisciplinary collaboration, bridging theoretical foundations and practical implementations. The symposium welcomes contributions from both researchers and practitioners in the field of FL.