Aim and Motivation:Many learning algorithms and techniques were developed with the requirements of single application in mind, such as e-commerce, search, and vision. Internet-of-Things (IoT) presents a great challenge to existing computational intelligence schemes such as machine learning and neural networks due to its data and compute complexity. IoT devices, such as sensors, cameras, and actuators commonly produce distributed, sparse and highly complex data representations that require these intelligent schemes to adapt and adjust, with limited resource availability. The ability to perform learning in distributed manner will enable better resource coordination and utilisation in handling complex computations in such resource-constrained environment.
This special session aims at presenting novel approaches to distributed learning for Internet-of-Things, both from the theoretical and practical perspectives of computational intelligence schemes.
Topics:This includes but is not restricted to the following topics:
- Parallel and distributed computational intelligence algorithms and techniques:
- Deep learning
- Hierarchical learning
- Associative memory
- Sparse distributed memory
- Machine learning
- Neural networks
- Hybrid approaches
- IoT Analytics
- Autonomous IoT
- Resource utilisation and coordination
- Control and communication systems
- Intelligent IoT applications and services
Paper Submission:The format of paper and submission procedure should be followed as specified on the IJCNN 2015 website. Accepted special session papers will be included in the conference proceedings. Submissions to this special session should follow the following instructions:
- Go to http://ieee-cis.org/conferences/ijcnn2015/upload.php to submit your paper to IJCNN 2015.
- Be sure to set the "Main research topic" to "SS35 - Distributed Learning Algorithms, Techniques, and Implementations for Internet-of-Things".
For more information, please visit IJCNN'2015 CFP website: http://www.ijcnn.org/call-for-papers, or our Special Session CFP: https://sites.google.com/site/ijcnn2015distlearniot/ . All submissions will be peer-reviewed with the same criteria used for other contributed papers.
IMPORTANT DATESPaper submission UPDATED: February 5th, 2015
Paper Decision notification: March 15th, 2015
Camera-ready submission: April 15th, 2015
Conference Dates: July 12 - 17th, 2015
Organizers:Anang Hudaya Muhamad Amin
Thundercloud Research Lab
Faculty of Information Science and Technology (FIST)
Asad I. Khan
Faculty of Information Technology
Clayton, VIC, Australia
Benny B. Nasution
Politeknik Negeri Medan