posted by user: freddyg || 1075 views || tracked by 1 users: [display]

MDPI mathematics 2022 : From Edge Devices to Cloud Computing and Datacenters: Emerging Machine Learning Applications, Algorithms, and Optimizations

FacebookTwitterLinkedInGoogle

Link: https://www.mdpi.com/journal/mathematics/special_issues/Mach_Learn_Algorithm_Optim
 
When N/A
Where N/A
Submission Deadline Oct 31, 2022
Categories    machine learning   deep neural network   deep compression   machine learning optimizations
 

Call For Papers

Dear Colleagues,

In the last decade, machine learning has emerged as an important tool for a tremendous number of applications, such as computer vision, medicine, fintech, autonomous systems, speech recognition, and many others. Machine learning models offer state-of-the-art accuracy and robustness in many applications. The increasing deployment of machine learning algorithms from edge and IoT devices to high-end computational infrastructures, such as supercomputers, the cloud, and datacenters, introduces major computational challenges due to the growing amount of data and also the major growth in their model size and complexity. This Special Issue looks for novel developments of emerging machine learning applications, algorithms, and optimization in diverse computational platforms such as:

Novel IoT and edge devices’ machine learning applications;
High-performance computing machine learning algorithms;
Machine learning applications in cloud and fog computing;
Fusion of machine learning models between edge and cloud;
Machine learning optimization methods such as pruning and deep compression.
Prof. Dr. Freddy Gabbay
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

machine learning
deep neural network
deep compression
machine learning optimizations
machine learning under constrained resources

This special issue is now open for submission.

Related Resources

ICDM 2022   22nd IEEE International Conference on Data Mining
IEEE COINS 2022   IEEE COINS 2022: Hybrid (3 days on-site | 2 days virtual)
NeurIPS 2022   Thirty-sixth Conference on Neural Information Processing Systems
Mathematics (MDPI) 2022   Mathematics Special Issue - Analysis and Mathematical Modeling of Control Engineering and Path Planning
MLDM 2023   18th International Conference on Machine Learning and Data Mining
DOING@ADBIS 2022   3rd International Workshop on Intelligent Data – From Data to Knowledge
FAIML 2022   2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2022)
MDPI Network SI AECC 2022   MDPI Network - Special Issue on Advances in Edge and Cloud Computing
ICMLA 2022   IEEE International conference on Machine Learning and Applications
ATA 2022   Workshop on Analogies: from Theory to Applications @ ICCBR2022