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Total Size:
24.5 MB
Info Hash:
7CE35F850AF5DF4D39677293C5C186075959EC58
Added By:
Added:
Aug. 17, 2025, 2:34 a.m.
Stats:
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(Last updated: Aug. 17, 2025, 2:36 a.m.)
| File | Size |
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| Kumar M. Convergence of AI, Federated Learning, and Blockchain...2025.pdf | 24.5 MB |
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| Uploaded by indexFroggy | Size 55.9 MB | Health [ 14 /3 ] | Added 2024-10-09 |
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| Uploaded by indexFroggy | Size 16.8 MB | Health [ 14 /5 ] | Added 2025-02-11 |
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| Uploaded by andryold1 | Size 10.1 MB | Health [ 48 /12 ] | Added 2025-08-23 |
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| Uploaded by freecoursewb | Size 96.1 MB | Health [ 0 /10 ] | Added 2023-10-23 |
NOTE
SOURCE: Kumar M. Convergence of AI, Federated Learning, and Blockchain...2025
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COVER
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MEDIAINFO
Textbook in PDF format This book delves into the transformative potential of Artificial Intelligence (AI), Federated Learning, and blockchain, exploring their individual strengths and their synergistic power when brought together. AI has revolutionized our ability to analyze vast amounts of data, uncovering hidden patterns and generating predictive insights. Federated learning, a distributed learning paradigm, allows for collaborative learning across decentralized devices, fostering privacy-preserving knowledge exchange. Blockchain technology, with its immutable ledger and secure, transparent transactions, offers a robust platform for trust and collaboration in a decentralized world. This book provides current state of the art along with an insight of recent research trends and open issues, challenges, and future research direction for the academician, analyzer, researcher, writers, and authors. It also provides an opportunity to exchange knowledge in the field of IoT-enabled smart systems, Industry 4.0, networking, cyber-physical system, computing paradigms, and security with various tools and methods used for industry-oriented intelligent-based IoT applications. This advanced research edited book focuses on emerging and advancing technology-Federated Machine Learning, blockchain, and Artificial Intelligence for real-time Internet of things (IoT) application to solve the real-world problems and make the life of human more conformable. The objective of the proposed book is to develop privacy preserving model for IoT applications and improve the security, privacy, reliability, and sustainability of the systems. This book motivates and enhances the quality of research and commercialization in the fields of AI, Industry 4.0, Federated Learning, and blockchain
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