posted by user: fra_cfp || 956 views || tracked by 6 users: [display]

WMLC 2019 : Workshop on Machine Learning for Communications

FacebookTwitterLinkedInGoogle

Link: http://www.wi-opt.org/wmlc.php
 
When Jun 7, 2019 - Jun 7, 2019
Where Avignon, France
Submission Deadline Feb 15, 2019
Notification Due Mar 22, 2019
Final Version Due Apr 5, 2019
Categories    machine learning   computer networks   deep learning   wireless
 

Call For Papers

Call For Papers
Artificial Intelligence and particularly machine learning has lately been the focus of extensive research efforts. Recent breakthroughs have illustrated that AI can perform well in challenging tasks like image recognition and game playing, often surpassing human performance. The interplay between AI and wireless communications is twofold: On the one hand, encouraged by the good performance of AI in other domains, it is envisioned that AI can be used to optimize wireless systems without the need of an accurate model, just by relying on past data and observations. On the other hand, the computation power of interconnected devices can be leveraged to distribute the heavy computation load needed to apply AI (particularly the training of deep neural networks).
Although there has been a surge of interest in AI for wireless communication systems with encouraging preliminary results, its full potential and limitations are not yet well understood. Towards addressing this challenge, we solicit novel contributions on topics including, but not limited to, the following:
Deep learning for channel coding and transceiver design.
Neural networks for wireless communication (autoencoders, generative adversarialnetworks, etc.).
Deep learning for radio resource management.
Machine learning techniques and deep learning for congestion control and routing.
Reinforcement Learning and online learning for real-time network operation and selforganized networks.
Deep Learning for user behavior and demand prediction.
Deep Learning for user localization and trajectory prediction
Federated Learning over the wireless edge.
on-device machine learning.
Co-design of hardware and machine learning algorithms.
Experimental results on applications of AI in wireless systems.
New data sets and ML challenges in wireless systems.

Related Resources

ICMLA 2019   18th IEEE International Conference on Machine Learning and Applications
ICCV 2019   International Conference on Computer Vision
Journal Special Issue 2019   Machine Learning on Scientific Data and Information
MLDM 2019   15th International Conference on Machine Learning and Data Mining MLDM 2019
user2agent 2019   IUI 2019 Workshop on User-Aware Conversational Agents
ICDMML 2019   【ACM ICPS EI SCOPUS】2019 International Conference on Data Mining and Machine Learning
Biometrics 2019   Special Issue on Recent Advances in Biometrics and its Applications
WACV 2020   Workshop on Applications of Computer Vision
CAIP 2019   Computer Analysis of Images and Patterns
ACPR 2019   Asian Conference on Pattern Recognition