Special Session 2
Special Session 2: Lightweight Deep Learning Models and Applications
Organizer:
Prof. Feifei Tang, Chongqing Jiaotong University
Dr. Tao Zhou, Deakin University
Dr. Yit Hong Choo, Deakin University
Xinjie Deng, Deakin University
About the session
This special session is dedicated to the design and development of
lightweight deep learning (DL) models and their practical
applications. These DL models are able to achieve efficiency and
ensure performance in undertaking complex tasks effectively while
using minimal computational power. The emphasis on lightweight
models is critical for enabling real-time data processing, as they
can significantly minimise processing delays and enhance the speed
and responsiveness in various real-time applications. They are also
useful for deployment in resource-constrained devices like
smartphones, IoT (Internet-of-Things) devices, and edge computing
platforms.
In this special session, we solicit papers that study
the fundamental theories and principles underpinning the design and
development of lightweight DL models for efficient and effective
computation. Papers that demonstrate how lightweight DL models are
applied to solve real-world problems efficiently are also welcome.
The scope of this special session includes, but is not limited to,
the following topics:
• Optimisation techniques for reduced
computational complexity of DL models
• Deployment strategies of
DL models on resource-constrained devices
• Real-time data
processing of DL models
• Methods for minimising processing
delays in DL models
• Techniques for on-device data analytics
with DL models
• Privacy and security enhancements of DL models
through edge computing.
• Applications of lightweight DL models
in various domains, such as:
o Internet of Things (IoT)
o
Autonomous systems and robotics
o Smart city infrastructures
o
Intelligent Transportation
Keywords
• Artificial intelligence
•
Machine learning
• Deep learning
• Supervised learning
•
Reinforcement learning
• Domain adaptation
• Scalability
•
Optimisation
• Computational intelligence
• Real-world
problems
• Lightweight models
• Intelligent transportation
• Remote sensing
Submission Guidelines
Please submit your manuscript via
Electronic
Submission System (account is needed).
(Please choose the special number when you make the submission.)
Important Dates
◆ Submission of Full Papers:
Apr. 25, 2025
◆ Notification of Review Result of Papers from Special
Sessions: May. 10, 2025