-------- Ursprüngliche Nachricht -------- Von: "RENAULT, Eric" eric.renault@esiee.fr Gesendet: 22. September 2024 18:07:25 MESZ An: mycolleagues@mailman.ufsc.br, rsd-cfp@groupes.renater.fr, "eti-mlc@COMSOC.ORG" eti-mlc@comsoc.org, ieeewtc@comsoc.org, ahsn@comsoc.org, tccn@comsoc.org, tciin@comsoc.org, commsoft@ieee.org, tccc-announce@comsoc.org Betreff: CFP : 7th International Conference on Machine Learning for Networking, MLN 2024, Reims, France, November 27-29, 2024 (extended deadline)
7th International Conference on Machine Learning for Networking --- MLN 2024 ---
Reims, France, November 27-29, 2024
http://www.adda-association.org/mln-2024/
MLN 2024 is the seventh edition of the International Conference on Machine Learning for Networking. The goal of the conference is to provide a forum for scientists, engineers and researchers to discuss and exchange novel ideas, results, experiences and work-in-process on all aspects of Machine Learning and Networking. Each year, MLN attendees will appreciate and benefit from multidisciplinary exchanges on these hot topics. MLN 2024 will be held in Reims, France, from November 27th to November 29th, 2024.
Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal, to
https://easychair.org/conferences/?conf=mln2024
The accepted papers will be published as a post-proceedings in Springer's LNCS. Lecture Notes in Computer Science (LNCS) series is indexed by the ISI Conference Proceedings Citation Index - Science (CPCI-S), included in ISI Web of Science, EI Engineering Index (Compendex and Inspec databases), ACM Digital Library, dblp, Google Scholar, Scopus, etc.
Topics of interest include and are not limited to:
Deep and Reinforcement learning Pattern classification for networks Machine learning for network slicing optimization Machine learning for 5G/6G and beyond Machine learning for user behavior prediction Innovative machine learning methods Optimization of machine learning methods Performance analysis of machine learning algorithms Experimental evaluations of machine learning Data mining in heterogeneous networks Machine learning for Internet of Things Machine learning for security and privacy Distributed and decentralized machine learning algorithms Intelligent cloud-support communications Intelligent resource allocation Intelligent energy-aware/green communications Intelligent software defined networks Intelligent cooperative networks Intelligent positioning and navigation systems Intelligent wireless communications Intelligent underwater sensor networks Large Language Models for Networking
Position papers are also welcome and should be clearly marked as such.
Important dates ---------------
Paper submission: September 15, 2024 extended to September 30, 2024 Notification of acceptance: October 20, 2024 Final manuscripts due: November 8, 2024 Conference: November 27-29, 2024
Submission ----------
Submissions must not be published or submitted to a journal and/or conference / workshop with proceedings. All submissions should be anonymous (i.e., no author names/affiliations and obvious citations). Submissions are to be made to the submission web site:
https://easychair.org/conferences/?conf=mln2024
The accepted papers will be published as post-proceedings in Springer's LNCS.
Only pdf files are accepted. Submissions not meeting the above guidelines will be rejected without other consideration. The camera-ready version of accepted papers will have to follow the Springer guidelines for publication in the Lecture Notes in Computer Science series.
Authors of accepted papers must present their papers At least one author of each accepted paper is required to register and present the paper.
Best paper award ----------------
All papers are eligible for the best paper award. The award will be announced at the conference.
Éric Renault Professeur / Full Professor Laboratoire d'Informatique Gaspard-Monge (LIGM) UMR CNRS 8049 Département Informatique Tél. : +33 (0)1 45 92 60 78 2 boulevard Blaise Pascal - BP 99 93162 Noisy-le-Grand CEDEX • FRANCE
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