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Authors are invited to submit complete unpublished papers, which are not under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
ESIEE Paris Membre fondateur Université Gustave Eiffel Une école de la Chambre de Commerce et d'Industrie Paris Île-de-France
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