Distributed Machine Learning and Computing

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 Arti?cial 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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• Engenharia electrónica
• Engenharia das comunicações e telecomunicações
• Aprendizagem mecânica
• Cibernética e teoria dos sistemas

Machine learning;Distributed learning;distributed computing;artificial intelligence;large-scale complex networks;optimization theory;deep learning