International Workshop on 6G-enabled Edge AI-based Energy-Efficient and Secure Signal Processing for Smart Healthcare (EASE-6G 2026)

Call for Papers

This workshop, "6G-enabled Edge AI-based Energy-Efficient and Secure Signal Processing for Smart Healthcare", aims to provide a focused forum for researchers, practitioners, and industry experts to explore cutting-edge advances at the intersection of smart healthcare applications, secure data analytics, and sustainable intelligent computing.

The workshop addresses the pressing need for holistic, secure, and energy-aware healthcare solutions in increasingly connected environments. Healthcare systems worldwide face mounting pressures from aging populations, chronic diseases, pandemics, and resource constraints. Smart healthcare enabled by pervasive sensing, intelligent analytics, and high-speed communications offers transformative solutions for remote monitoring, personalized medicine, predictive diagnostics, and automated clinical decision support.

Yet, the integration of AI-driven analytics and large-scale health data platforms introduces significant concerns:

• Protection of sensitive patient data in distributed and Edge AI architectures in 6G
• Energy consumption of large-scale AI models for 6G-driven Integrated Sensing and Communication Systems (ISAC) in smart healthcare
• Real-time processing of high-dimensional biomedical signals
• Scalability and interoperability across heterogeneous devices and networks
• Regulatory compliance and ethical deployment of intelligent systems

To fully realize the vision of a Smart World in healthcare, research must address not only algorithmic performance but also security, privacy, energy efficiency, scalability, and trustworthiness. This workshop distinguishes itself by integrating four critical dimensions—intelligence, security, sustainability, and scalability—into a unified 6G-driven smart healthcare framework.