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International Workshop on Machine Learning in Networking (MaLeNe) 2026
WorkshopMachine Learnnetworking

International Workshop on Machine Learning in Networking (MaLeNe) 2026

22 mar 202609:00 AM-06:00 PM (expected)Augsburg, GermanyDelegates Uczestników

Opis

The International Workshop on Machine Learning in Networking (MaLeNe) will take place at the University of Augsburg, Germany, from March 19 to March 20, 2026. This two-day event aims to bring together researchers, practitioners, and industry experts to explore the intersection of machine learning and networking technologies. Participants will engage in insightful discussions, share innovative ideas, and present cutting-edge research that highlights the transformative impact of machine learning on networking protocols and architectures. Attendees can expect a rich program featuring keynote speeches, technical sessions, and networking opportunities, fostering collaboration and knowledge exchange in this rapidly evolving field.

Najważniejsze punkty

The 7th edition of MaLeNe will be held on March 19–20, 2026, at the University of Augsburg in Augsburg, Germany. MaLeNe focuses on the intersection of machine learning and networking, fostering community building and discussions on current topics. The workshop is technically sponsored by VDE ITG KT2. Participants are invited to submit full papers, early-stage research ideas, extended abstracts, or work in progress. The venue address is Universität Augsburg, Universitätsstr. 6a, 86159 Augsburg. The workshop aims to address opportunities where machine learning can benefit networking in various facets, such as network monitoring, management, and security. The long-term vision is to enable real-time, automated configuration decisions before service and experience degradation occurs. The workshop will combine original paper presentations with a motivating keynote to thoroughly explore this challenging topic. The submission system for the workshop is now open, and authors may submit their work through the provided link.

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Tagi

# Workshop# Machine Learn# networking

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