Distributed Machine Learning and Computing

Theory and Applications

Gebonden Engels 2024 9783031575662
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

This book focuses on a wide range of distributed machine learning and computing algorithms and their applications in healthcare and engineering systems. The contributors explore how these techniques can be applied to different real-world problems. It is suitable for students and researchers interested in conducting research in multidisciplinary areas that rely on distributed machine learning and computing techniques.

Specificaties

ISBN13:9783031575662
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer International Publishing

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Inhoudsopgave

Chapter 1. Distributed Machine Learning and Computing: An Overview.- Chapter 2. Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks.- Chapter 3. Heterogeneity Aware Distributed Machine Learning at the Wireless Edge for Health IoT Applications: An EEG Data Case Study.- Chapter 4. A Comprehensive Review of Artificial Intelligence and Machine Learning Methods for Modern Health-care Systems.- Chapter 5. Vertical Federated Learning: Principles, Applications, and Future Frontiers.- Chapter 6. Decentralization of Energy Systems with Blockchain: Bridging Top-down and Bottom-up Management of the Electricity Grid.-Chapter 7. Empowering Distributed Solutions in Renewable Energy Systems and Grid Optimization.

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        Distributed Machine Learning and Computing