Following the success of previous years, the main conference will be accompanied by a one-day Student Workshop. The ACM CoNEXT 2024 Student Workshop aims at providing a platform for graduate students in the area of computer networks and communications to learn from senior researchers in the field and present their ongoing research efforts. The venue also represents a unique opportunity for students to network with other junior researchers as well as more experienced ones; receive constructive feedback, guidance, tips, and advice; and learn about cutting-edge research problems being tackled by the community.
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Recent years have witnessed the consolidation and centralization of the Internet applications, services, as well as the infrastructure. This centralization has economic aspects and factors as well as technical ones. The effects are often characterized as detrimental to the original goals of the Internet, such as permissionless innovation, as well as to society at large, due to the amount of (personal) data that is obtained and capitalized on by large platforms.
This workshop is intended to provide a forum for academic researchers to present and discuss on-going work on this topic and to create greater awareness in the larger community for this topic.
Organizers:
The 5G-MeMU workshop is motivated by the key challenges of understanding and optimizing operational 5G and beyond systems and services and conducting 5G-related research. Its goal is to bring together researchers, cellular network operators, equipment vendors, mobile device manufacturers, vertical use case owners, and policymakers, from academia, industry, and government for discussions of the challenges of the 5G ecosystem, centered on practical experiences with 5G and beyond systems and services, and the state-of-the-art 5G and beyond research. This workshop solicits novel contributions to the state-of-the-art, results of ongoing research, open issues, trends, and new ideas.
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The goal of GNNet is to leverage graph data representations and modern GNN technology to advance the application of AI/ML in networking. GNNet provides the first dedicated venue to present and discuss the latest advancements on GNNs and general AI/ML on graphs applied to networking problems. GNNet will bring together leaders from academia and industry to showcase recent methodological advances of GNNs and their application to networking problems, covering a wide range of applications and practical challenges for large-scale training and deployment.
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Workshop Date
December 9, 2024