posted by organizer: hamini67 || 5136 views || tracked by 7 users: [display]

Distributed ML and Opt. 2023 : Distributed Machine Learning and Optimization: Theory and Applications

FacebookTwitterLinkedInGoogle

 
When N/A
Where Springer
Abstract Registration Due Sep 15, 2022
Submission Deadline Jun 15, 2023
Notification Due Aug 15, 2023
Categories    federated learning   distributed learning   machine learning   distributed optimization
 

Call For Papers

Dear Colleagues,

There has been an emerging concern regarding the optimal decision-making in large-scale networks. In this book, we focus on the a wide range of novel distributed machine learning and optimization algorithms, and their applications in real-world applications, including but not limited to smart cities, healthcare, robotics, Internet-of-Things, power and energy systems, and transportation networks. To this end, we invite contributors from computer science, operation research, electrical engineering, civil engineering, and other related disciplines to explore distributed machine learning and optimization techniques, and control algorithms as well as their applications. These techniques can be applied to different real-world problems.


I would like to invite your abstract submissions for book chapters for the upcoming book, entitled “Distributed Machine Learning and Optimization: Theory and Applications”. This book has two parts:

- Part I: Introduction to Distributed Machine Learning Optimization algorithms for large-scale problems from theoretical foundations
Topics include but not limited to: distributed optimization, decentralized optimization, agent-based reinforcement learning, distributed machine learning, federated learning

- Part II: Applications of Distributed Learning and Optimization methods
Topics include but not limited to: healthcare, autonomous systems, cyberphysical systems, Internet-of-Things, smart cities, intelligent transportation networks, smart power and energy systems, critical infrastructures

Please email your contribution to the editor (hadi.amini@ieee.org and cc amini@cs.fiu.edu ) with subject line of “Book Chapter Abstract Submission: Distributed Optimization and Learning”.

Important dates:
Abstract Submission (using template below) 15- September -2022
Abstract Notification 5-Oct-2022
Full Book Chapter Submission 15-June-2023
Full Chapter Notification 15-Aug-2023
Revised Chapter Submission 10-Oct-2023

We look forward to receiving your contribution!

M. Hadi Amini, Ph.D., D.Eng., Florida International University, USA, e-mail: amini@cs.fiu.edu

*********************
Abstract Template:
Title:….
List of authors, their email addresses, and affiliations
Email and Phone number of the Corresponding author

1-2 paragraph overview of the proposed book chapter…


Related Resources

Ei/Scopus-CCNML 2025   2025 5th International Conference on Communications, Networking and Machine Learning (CCNML 2025)
Distributed AI/ML 2025   Distributed AI/ML at the Resource-Constrained Edge
Ei/Scopus-SGGEA 2025   2025 2nd Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2025)
ICA3PP 2025   The 25th International Conference on Algorithms and Architectures for Parallel Processing
AAIML 2026   IEEE--2026 International Conference on Advances in Artificial Intelligence and Machine Learning
IEEE CNCIT 2025   2025 4th International Conference on Networks, Communications and Information Technology (CNCIT 2025)
Ei/Scopus-AI2A 2025   2025 5th International Conference on Artificial Intelligence, Automation and Algorithms (AI2A 2025)
Ei/Scopus-IPCML 2025   2025 International Conference on Image Processing, Communications and Machine Learning (IPCML 2025)
MLMI 2025   2025 The 8th International Conference on Machine Learning and Machine Intelligence (MLMI 2025)
S+SSPR 2026   Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition and Structural and Syntactic Pattern Recognition