Volume 12629
Lecture Notes in Computer Science Information Systems and Applications, incl. Internet/Web, and HCI
Editorial Board
Elisa Bertino
Purdue University, West Lafayette, IN, USA
Wen Gao
Peking University, Beijing, China
Bernhard Steffen
TU Dortmund University, Dortmund, Germany
Gerhard Woeginger
RWTH Aachen, Aachen, Germany
Moti Yung
Columbia University, New York, NY, USA
Founding Editors
Gerhard Goos
Karlsruhe Institute of Technology, Karlsruhe, Germany
Juris Hartmanis
Cornell University, Ithaca, NY, USA
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Editors
ric Renault , Selma Boumerdassi and Paul Mhlethaler
Machine Learning for Networking
Third International Conference, MLN 2020, Paris, France, November 2426, 2020, Revised Selected Papers
1st ed. 2021
Logo of the publisher
Editors
ric Renault
Laboratoire LIGM UMR 8049 CNRS, ESIEE Paris, Noisy-le-Grand, France
Selma Boumerdassi
CNAM/CEDRIC, Paris, France
Paul Mhlethaler
Inria/EVA Project, Paris, France
ISSN 0302-9743 e-ISSN 1611-3349
Lecture Notes in Computer Science Information Systems and Applications, incl. Internet/Web, and HCI
ISBN 978-3-030-70865-8 e-ISBN 978-3-030-70866-5
https://doi.org/10.1007/978-3-030-70866-5
Springer Nature Switzerland AG 2021
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Preface
The rapid development of new network infrastructures and services has led to the generation of huge amounts of data, and machine learning now appears to be the best solution to process these data and make the right decisions for network management.
The International Conference on Machine Learning for Networking (MLN) aimed at providing a top forum for researchers and practitioners to present and discuss new trends in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slicing optimization, 5G systems, user behavior prediction, multimedia, IoT, security and protection, optimization and new innovative machine learning methods, performance analysis of machine learning algorithms, experimental evaluations of machine learning, data mining in heterogeneous networks, distributed and decentralized machine learning algorithms, intelligent cloud-support communications, resource allocation, energy-aware communications, software-defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, and underwater sensor networks. Due to the special health situation all around the world, all presentations at MLN 2020 were done remotely.
The call for papers resulted in a total of 50 submissions from all around the world: Algeria, Brazil, Canada, France, Greece, India, Italy, Morocco, The Netherlands, Norway, Pakistan, Russia, South Africa, Sweden, Taiwan, Tunisia, Turkey, the United Kingdom, and the United States. All submissions were assigned to at least three members of the Program Committee for review. The Program Committee decided to accept 22 papers. Three intriguing keynotes from Mrouane Debbah, Huawei, France, Philippe Jacquet, Inria, France, and Fakhri Karray, University of Waterloo, Canada, completed the technical program.
We would like to thank all who contributed to the success of this conference, in particular the members of the Program Committee and the reviewers for carefully reviewing the contributions and selecting a high-quality program. Our special thanks go to the members of the Organizing Committee for their great help.
Thursday afternoon was dedicated to the Third International Workshop on Networking for Smart Living (NSL). The technical program of NSL included two presentations and an invited paper by Nirmalya Thakur, University of Cincinnati, USA.
We hope that all participants enjoyed this successful conference.
Paul Mhlethaler
ric Renault
December 2020
Organization
MLN 2020 was jointly organized by the EVA Project of Inria Paris, the Laboratoire dInformatique Gaspard-Monge (LIGM) and ESIEE Paris of Universit Gustave Eiffel, and CNAM Paris.
General Chairs
Paul Mhlethaler
Inria, France
ric Renault
ESIEE Paris, France
Steering Committee
Selma Boumerdassi