The Federated Learning and Intelligent Computing Systems (FLICS) Conference 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.
FLICS 2026 features two main tracks that address complementary aspects of modern intelligent computing:
Main Track 1 – Federated Learning Systems & Applications
This track focuses on the fundamental challenges and innovations in federated learning, including scalable
architectures, privacy and security mechanisms, communication efficiency, personalization, edge computing
integration, and real-world deployments. This track addresses the core technical foundations of federated
learning systems and their applications across diverse domains such as healthcare, finance, industrial IoT,
and smart cities.
Main Track 2 – Intelligent Computing Systems
This track explores cutting-edge technologies and applications in intelligent computing systems, including
large language models, generative AI, deep learning architectures, agentic AI workflows, digital twins, and
smart city applications. This track bridges the gap between federated learning and emerging AI paradigms,
addressing the systems, infrastructure, and interdisciplinary applications that drive the next generation
of intelligent computing.
FLICS 2026 provides a unique platform for interdisciplinary collaboration, bridging theoretical foundations and
practical implementations. The Conference welcomes contributions from both researchers and practitioners across
both tracks, fostering dialogue between federated learning specialists and intelligent computing systems experts.
