Special Session: Distributed Computing and Communication Techniques for Emerging AI Applications

Organizer/Chair

Peng Li, (The University of Aizu, Japan)

Artificial Intelligence (AI), especially Machine Learning (ML), has demonstrated great potential to revolutionize our world by improving the efficiency of deployment and management, enhancing security and privacy protection, and enabling various smart applications. The success of AI stems from the availability of big training data and massive computation power, which drives academia and industry to build powerful computing and networking infrastructure for data storage, transmission, and processing. Evidence has shown that the amount of computing used for training deep learning models has increased 300,000x in the past 6 years. Therefore, the traditional single-machine-based AI systems cannot handle the computing and communication requirements of emerging AI applications, and it is urgent to design and develop distributed computing and communication infrastructure for AI.
Addressing the above challenges needs significant research efforts on theories, algorithms, architecture, and experiences of system deployment and maintenance. Therefore, this special session aims to offer a platform for researchers from both academia and industry to publish recent research findings and discuss opportunities, challenges, and solutions to distributed computing and communication techniques for emerging AI applications. Topics of interest include, but are not limited to:

  • 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

Paper Submission

Please go to the Submission Page

Reviewers

  • Peng Li, The University of Aizu, Japan
  • Celimuge Wu, The University of Electro-Communications, Japan
  • Yufeng Zhan, Hong Kong Polytechnic Unviersity, China
  • Zhihao Qu, Hohai University, China

Submission System

The submission system is: https://edas.info/N29397

Important Dates

  • Full paper submission: June 25, 2022
  • Acceptance notification: July 31, 2022
  • Camera-ready paper: August 15, 2022

Contact

Prof. Peng Li, The Univ. Aizu, Japan

E-mail: pengli (at) u-aizu.ac.jp