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The first IEEE International Conference on Machine Learning for Communication and Networking - IEEE ICMLCN 2024 - is the new flagship conference of the IEEE Communication Society dedicated to Machine Learning for Communication and Networking.
IEEE ICMLCN 2024: https://icmlcn2024.ieee-icmlcn.org/
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*Important Deadlines*
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Paper submission deadline:
15 September 2023
28 September 2023
8 October 2023
Special sessions submission deadline:
15 September 2023
28 September 2023
8 October 2023
Notification of acceptance:
15 December 2023
Camera-ready papers:
15 January 2024
Author Registration Deadline:
15 January 2024
Conference dates:
5 May - 8 May 2024
Link: Submit a Paper https://2024icmlcn.edas.info/
The first IEEE International Conference on Machine Learning (ML) in Communications and Networking will be held in Stockholm, Sweden. The conference brings together researchers from the disciplines of ML and Communication and Networking, and aims at promoting fundamental
and applied research of ML for designing and analyzing communication systems and networks, for developing communication protocols to support ML services, as well as for advancing distributed ML over communication networks. The conference targets any communication
and networking area, such as, but not limited to, wireless, optical, molecular, Internet, or WLAN.
Original technical papers are sought, but not limited to, in the following areas:
• ML and Networking for Intelligent Transport Systems
• ML and Networking for Smart Grids
• ML for Signal Processing in Communication and Networking
• ML for the MAC layer
• ML for the Physical Layer
• ML for the Transport layer
• Communication Efficient Distributed ML
• Distributed ML over communication networks
• Federated Learning and communications
• Learn to Transmit and Receive
• Resource Management and Network Optimization
• Semantic Communications and ML
• Wireless Communication to Support ML Services
• Wireless Networking to Support ML Services
• ML and IoT
• ML and Molecular Networks
• ML and Optical Networks
• ML in Intelligent Reflecting Surfaces
• ML and Networking in Smart Cities
• Decentralized Transmission Optimization for Edge Learning
• Distributed Multi-Agent Reinforcement Learning
• Edge Learning in Wireless Networks
• Experiments and Testbeds
• Integrated Distributed Optimization with Edge Learning
• Integrated Sensing and Communication via ML
• Network Architectures and Protocols for Edge Learning
• Over-the-Air Computation for Edge Learning
• Privacy and Security Issues with ML over Networks
In addition to conference papers, we are currently accepting submissions for tutorial proposals. IEEE ICMCN 2024 will feature a series of short and half-day tutorials. The conference will also promote an Industry Forum and Exhibition Program. Proposals are
sought for forums, panels, presentations, and demos, specifically related to issues facing the broader communications and networking industries.
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