The 7th edition of the KuVS Fachgespr?ch "Machine Learning in Networking (MaLeNe)" will be held on March 19–20, 2026 at the University of Augsburg in Augsburg, Germany.?The workshop is also technically sponsored by VDE ITG KT2.

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Topics of Interest

Authors are invited to submit extended abstracts, early-stage research ideas, or work in progress related to the topic areas listed below:

• Methodology
  • Data sets for benchmarking, verification, proof of concept
  • Data augmentation; dimensionality reduction (e.g., autoencoder); prediction and generation (e.g., GANs)
  • Performance evaluation methodology (best practices)
• Artificial Intelligence and Machine Learning Methods
  • Classical and deep learning methods for supervised, unsupervised, and reinforcement learning
  • Advanced methods (e.g., self-supervised learning) and models (e.g., adversarial, agentic, generative)
  • Large language models and foundation models; tiny models
• Generalizability
  • Transfer of trained models (e.g., small to large networks, enterprise to data center)
  • Federated learning (combine models trained for different data sets) and privacy
  • Context drift, catastrophic forgetting, and machine unlearning
• Explainability
  • Explainable Artificial Intelligence (XAI) and visualization
  • Understanding decisions of ML-based systems (management, traffic engineering, etc.)
  • Game-theory-based approaches to approximate guarantees
• Networking for Machine Learning and AI
  • Network architectures, applications, and use cases (data center, enterprise, etc.)
  • Network resource management (algorithms, schedulers, etc.)
  • In-network computation and processing
• Applications in Networking
  • Network monitoring, especially from encrypted traffic (e.g., traffic classification, QoE)
  • Network configuration (e.g., suggest optimal configurations, “spell-check” text-based configuration data)
  • Network planning (e.g., reconfigurable data centers, job placement)
  • Network management (e.g., autonomous management, self-driving networks)
  • Network security (e.g., intrusion detection, covert channels, firewall)
  • Advanced networks (e.g., 5G to 6G, industry, slicing)

Paper Submission

Authors may submit extended abstracts, early-stage research ideas, or works in progress presenting original research, ongoing studies, or practical experiences. Previously published work or work currently under review elsewhere cannot be submitted. Each submission must be written in English, accompanied by a 75 to 200 word abstract and a list of up to 5 key words. There is a length limitation of 2 A4 (210?mm × 297?mm) pages for full papers (including title, abstract, figures, tables) plus 1 page for references. Submissions must be in 2-column IEEE conference style with a minimum font size of 10?pt. Papers exceeding these limits, multiple submissions, and self-plagiarized papers will be rejected without further review. Authors should submit their papers electronically via the EasyChair online submission system under the following link: https://easychair.org/conferences?conf=malene2026

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Important Dates

• Extended paper submission deadline: January 22, 2026 (final)
• Paper notification: February 9th, 2026
• Final submission/Camera-ready version: February 23rd, 2026
• Workshop date: March 19-20, 2026

Proceedings

All papers accepted for MaLeNe 2026 will be included in proceedings, which are published open access via OPUS. We reserve the right to remove any paper from the proceedings if the paper is not presented at the workshop.

Organizers

• Michael Seufert (University of Augsburg)
• Andreas Blenk (Siemens AG)
• Bj?rn Richerzhagen (Siemens AG)