The Handbook on “Federated Learning Applications in the Industrial Internet of Everything (IoE)” invites original research work (not being considered for publication elsewhere) in standard Springer book template in the following tracks (though not limited to):
• Introduction to Federated Learning and its applications in the IoE
• Techniques used in Federated Learning
• Federated Learning in the Manufacturing Industry
• Federated Learning in the Transportation Industry
• Federated Learning in the Healthcare Industry
• Challenges and Opportunities in Federated Learning for the IoE
• Conclusion and future research directions
• Use cases of Federated Learning in the Industrial IoE
• Security and privacy concerns in Federated Learning for Industrial IoE
• Federated Learning for predictive maintenance in industrial systems
• Federated Learning for energy optimization in the Industrial IoE
• Federated Learning for fault detection and diagnosis in Industrial IoE
• Federated Learning for intelligent control in the Industrial IoE
• Federated Learning for data-driven decision-making in the Industrial IoE
Deadlines:
Abstract Submission: 15-10-2023
Abstract Acceptance: 30-10-2023
Full Chapter Submission: 15-12-2023
All the selected book chapters will be published in the Springer series. You all are requested to send the book chapter abstract proposal by 15-10-2023. All proposals need to be sent through email to [email protected], cc: [email protected], [email protected],[email protected], [email protected]Dr. Aman SharmaPoonam Saini.Dr. Anand Nayyar
For more details, refer here
