ACM Workshop on Machine Learning for NextG Networks 2024
Washington, DC, USA, Nov 18, 2024

In conjunction with ACM Conference on Mobile Computing and Networking (MobiCom) 2024

Machine learning (ML) has become a potent tool in the domain of wireless networks, addressing complex tasks across Edge computing, IoT, embedded systems, and NextG networks. Enhancing the performance of ML-based wireless systems is paramount in their design. Recent research has highlighted the effectiveness of adversarial ML (AML) techniques in compromising such systems, emphasizing the need for a deeper understanding of AML's impact on wireless technologies. Therefore, developing efficient and robust ML algorithms for wireless security is crucial, particularly ones that can operate effectively with limited power and computational resources. In response to these challenges, our workshop aims to bring together experts from the ML, privacy, security, wireless communications, and networking fields globally. This platform facilitates the dissemination of cutting-edge research findings in these critical areas, encouraging the exchange of ideas and fostering research collaborations to drive innovation forward.


Call for Papers

Scope and background: Machine learning (ML) has become a potent tool in the domain of wireless networks, addressing complex tasks across Edge computing, IoT, embedded systems, and NextG networks. Enhancing the performance of ML-based wireless systems is paramount in their design. Recent research has highlighted the potential of ML techniques in optimizing various aspects of wireless communications, from spectrum management to resource allocation. In addition, it is important to utilize the power of ML solutions to secure wireless communications against adversaries. Therefore, developing efficient and robust ML algorithms for wireless communications is crucial, particularly ones that can operate effectively with limited power and computational resources. In response to these challenges, our workshop aims to bring together experts from the ML, wireless communications, networking, and security fields globally. This platform facilitates the dissemination of cutting-edge research findings in these critical areas, encouraging the exchange of ideas and fostering research collaborations to drive innovation forward.

Topics of Interest (but not limited to):

  • ML modeling, methods, and evaluations for edge computing, embedded systems, NextG/IoT/cloud security, wireless resource allocation, adaptive modulation, interference management, access control, spectrum auction and sharing, energy efficiency, mobile offloading, and mobile system management.
  • ML solutions for wireless security and privacy for NextG communications and networking, adversarial machine learning in the wireless domain, explainable AI and trust in ML solutions for NextG communications and networking.
  • Resource-constrained and edge deployable ML solutions, experiments and testbeds for ML-driven wireless systems.

Submission Guidelines: Workshop submissions are required to be in English and formatted according to the standard ACM conference style, with a strict limit of six pages. Accepted papers will be published in the conference proceedings and the ACM digital library. Please note that only PDF files will be considered for the review process. All submissions must be thoroughly anonymized for double-blind reviewing.

Submission Website: https://mlnextg24.hotcrp.com/

Important Dates

Paper submission due: July 19, 2024 August 23, 2024

Notification to authors: August 23, 2024 September 13, 2024

Camera ready due: September 13, 2024 October 11, 2024

Workshop date: November 18, 2024


Workshop Chairs

  • Jia (Kevin) Liu, Ohio State University, USA
  • Yalin Sagduyu, Nexcepta, USA
  • Yi Shi, Virginia Tech, USA
  • Zhuo Lu, University of South Florida, USA

Workshop Program

TBD