Federated Learning for Smart Communication using IoT Application -
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Présentation Federated Learning For Smart Communication Using Iot Application de Format Relié
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Résumé : 1. Introduction to Federated Learning: Transforming Collaborative Machine Learning for a Decentralized Future 2. Applications, Challenges, and Opportunities for Federated Learning in 6G 3. Unleash Federated Machine Learning and Internet of Medical Things (IoMT) for Diseases Screening and Enhancement of Smart Healthcare 4. Federated Machine Learning in Medical Science: A Perspective Investigation 5. Artificial Intelligence Techniques Based on Federated Learning in Smart Healthcare 6. Federated Machine Learning in Medical Science: A Prospective Investigation 7. Healthcare Informatics Security Issues and Solutions using Federated Learning 8. Innovative Solutions: Exploring Federated Learning-Based Resource Virtualization with AR Integration in Healthcare Environments 9. Securing the Connected World: Federated Learning and IoT Cybersecurity 10. Federated Learning Shaping the Future of Smart City Infrastructure 11. EmPowering Teaching Institutes: Integrating Federated Learning in the Internet of Things (IOT) 12. A Critical Role for Federated Learning in IoT
Biographie: Dr. Kaushal Kishor He received his Ph.D. in Computer science and engineering from AKTU Lucknow, in the domain of Mobile Ad hoc Network. M.Tech & B.Tech in Computer Science & Engineering from UPTU Lucknow. Currently, he is working in ABES Institute of Technology, Ghaziabad as Professor Information Technology. He has supervised more than 50 projects for graduate and post graduate students. He has more than 19 years of experience of teaching. He is Gate Qualified 2003 score 94.5 percentile. He has book published and edited (1) Cloud-based Intelligent Informative Engineering for Society 5.0 pp. 1-234. Chapman and Hall/CRC., 2023, eBook ISBN: 9781003213895 (2) Design and Analysis Algorithms (ISBN NO. 978-93-81695-20-3) (3) Computer Networks (ISBN NO. 978-93-81695-27-2) (4) Compiler Design (ISBN NO. 938169530 x and ISBN-13 9789381695302) (5) Design and Analysis of Algorithms: Techniques and Control Management (ISBN NO. 978-81-8220-516-1) (6) Computer Networks a System Approach (ISBN NO. 978-81-8220-516-3) (7) Compiler Design Principles, Techniques, and Tools (ISBN:978-81-8220-626-7) for various engineering field like B.Tech. and MCA student. He has published 40 papers in peer reviewed international/National journals and conferences. His research interest includes Artificial Intelligence, Computer Networks, Algorithm, Compiler Design Wireless and Sensor Networking. ORCID Profile- https://orcid.org/0000-0002-7131-1389 Dr. PARMA NAND He is PhD. in Computer Science & Engineering from IIT Roorkee, M.Tech & B.Tech in Computer Science & Engineering from IIT Delhi. Prof Parma Nand is having more than 29 years of experience both in industry and academia. He had received various awards like best teacher award from Union Minister, best students project guide award from Microsoft in 2015 and best faculty award from cognizant in 2016. He had successfully completed government funded projects and spearheaded last five IEEE International conferences on Computing, Communication & Automation (ICCCA), IEEE students chapters, Technovation Hackathon 2019, Technovation Hackathon 2020, International Conference on Computing, Communication, and Intelligent Systems (ICCCIS-2021). He is member Executive Council of IEEE UP section (R-10), member Executive Committee IEEE Computer and Signal Processing Society, member Exec. India council Computer Society, member Executive Council Computer Society of India, Noida section and has acted as an observer in many IEEE conferences. He is also having active memberships of ACM, IEEE, CSI, ACEEE, ISOC, IAENG, and IASCIT. He is life time member of Soft Computing Research Society (SCRS) and ISTE. He has delivered many invited/key notes talks at International & National Conferences/ Workshops/Seminars in India & abroad. He has published more than 150 papers in peer reviewed international/national journals and conferences. Dr. Vishal Jain He is presently working as an Associate Professor at Department of Computer Science and Engineering, Sharda School of Engineering and Technology, Sharda University, Greater Noida, U. P., India. Before that, he has worked for several years as an Associate Professor at Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 16 years of experience in the academics. He obtained Ph.D (CSE), M.Tech (CSE), MBA (HR), MCA, MCP and CCNA. He has more than 1130 research citation indices with Google Scholar (h-index score 17 and i-10 index 27). He has authored more than 95 research papers in reputed conferences and journals, including Web of Science and Scopus. He has authored and edited more than 45 books with various reputed publishers, including Elsevier, Springer, DeGruyter, IET, River Pu...
Sommaire:
The book aims to demonstrate the effectiveness of federated learning in high-performance information systems and informatics-based solutions for addressing current information support requirements....
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