Chair
Haoli Zhao, Hebei University of Technology, China
As artificial intelligence (AI) continues to revolutionize various sectors, the demand for efficient and scalable computing solutions has never been greater. This special session will delve into the cutting-edge research and innovative solutions in distributed computing and communication techniques tailored for emerging AI applications. This session aims to explore the integration of distributed computing resources to tackle the computational challenges posed by modern AI systems. By leveraging distributed architectures and advanced communication protocols, we can achieve enhanced performance, scalability, and reliability in AI applications. Key topics of interest include:
- Edge/cloud computing for AI Federated learning
- Computing and network resource allocation for AI systems
- Energy efficiency of AI systems
- Network management of AI systems
- Modeling and optimization of distributed AI systems
- Incentive mechanisms for distributed AI systems
Former Chairs
- Prof. Peng Li, Univ. of Aizu, Japan (16th IEEE MCSoC 2023)
