This book presents the technologies that empower edge intelligence, along with their use in novel IoT solutions.
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Rute C. Sofia (Ph.D. 2004) is the Industrial IoT Head at fortiss - research institute of the Free State of Bavaria for software intensive services and systems. She is also an Invited Associate Professor of University Lusófona de Humanidades e Tecnologias, and an Associate Researcher at ISTAR, Instituto Universitário de Lisboa. Rute's research background has been developed in an industrial and academic context. She was a co-founder of the COPELABS research unit, and the COPELABS scientific director (2013-2017), where she was a Senior Researcher (2010-2019). She co-founded the Portuguese startup Senception Lda (2013-2019), a startup focused on personal communication platforms. Her current research interests are: network architectures and protocols; IoT; Edge computing; in-network computing; network mining. Rute has published over 70 peer-reviewed articles in her fields of expertise and 9 patents. She is an ACM Europe Councilor, an ACM Senior member, and an IEEE Senior Member. She was an IEEE ComSoc N2Women Awards co-chair (2020-2021). She is also a member of the Expert Group of the Networld ETP. John Soldatos (http://gr.linkedin.com/in/johnsoldatos) holds a Ph.D. in Electrical & Computer Engineering from the National Technical University of Athens (2000), is an Honorary Research Fellow at the University of Glasgow, UK (2014-present), and an Innovation Delivery Specialist with Netcompany-Intrasoft. He has significant experience in working closely with large multi-national industries as R&D consultant and delivery specialist, while being scientific advisor to high-tech startup enterprises. Dr. Soldatos is an expert in Internet-of-Things (IoT) technologies and applications. He has played a leading role in the successful delivery of more than seventy projects, for both private and public sector organizations, including complex integrated projects. He is co-founder of the open source platform OpenIoT. He has published more than 200 articles in international journals and conference proceedings. He has co-edited and co-authored seven edited volumes (books) on IoT and Artificial Intelligence (AI) related topics.
Inhaltsangabe
1. Edge Networking Technology Drivers for Next-generation Internet of Things in TERMINET Project 2. AI-driven Service and Slice Orchestration 3. Tactile IoT Architecture for the IoT-Edge-Cloud Continuum: The ASSIST-IoT Approach 4. Machine Learning (ML) as a Service (MLaaS): Enhancing IoT with Intelligence with Adaptive Online Deep and Reinforcement Learning, Model Sharing and Zero Knowledge Model Verification 5. Federated Learning Models in a Decentralized Critical Infrastructure 6. Analysis of Privacy Preservation Enhancements in Federated Learning Frameworks 7. Intelligent Management at the Edge 8. IoT Things to Service Matchmaking at the Edge 9. A Scalable, Heterogeneous Hardware Platform for Accelerated AIoT Based on Microservers 10. Methods for Requirements Engineering, Verification, Security, Safety and Robustness in AIoT systems 11. Decentralized Strategy for Artificial Intelligence in Distributed IoT Ecosystems: Federation in ASSIST-IoT 12. Achieving Security and Privacy in NG-IoT Using Blockchain Techniques 13. Enabling Remote-controlled Factory Robots via a Smart IoT Application Programming Interface 14. A Practical Deployment of Tactile IoT: 3D Models and Mixed Reality to Increase Safety at Construction Sites 15. Haptic and Mixed Reality Enabled Immersive Cockpits for Tele-operated Driving 16. The EFPF Approach to Manufacturing Applications Across Edge-Cloud Architectures 17. The EU-IoT Skills Framework for IoT Training and Career Development Processes 18. Digital Business IoT Maturity Patterns from an EU-IoT Ecosystem
1. Edge Networking Technology Drivers for Next-generation Internet of Things in TERMINET Project 2. AI-driven Service and Slice Orchestration 3. Tactile IoT Architecture for the IoT-Edge-Cloud Continuum: The ASSIST-IoT Approach 4. Machine Learning (ML) as a Service (MLaaS): Enhancing IoT with Intelligence with Adaptive Online Deep and Reinforcement Learning, Model Sharing and Zero Knowledge Model Verification 5. Federated Learning Models in a Decentralized Critical Infrastructure 6. Analysis of Privacy Preservation Enhancements in Federated Learning Frameworks 7. Intelligent Management at the Edge 8. IoT Things to Service Matchmaking at the Edge 9. A Scalable, Heterogeneous Hardware Platform for Accelerated AIoT Based on Microservers 10. Methods for Requirements Engineering, Verification, Security, Safety and Robustness in AIoT systems 11. Decentralized Strategy for Artificial Intelligence in Distributed IoT Ecosystems: Federation in ASSIST-IoT 12. Achieving Security and Privacy in NG-IoT Using Blockchain Techniques 13. Enabling Remote-controlled Factory Robots via a Smart IoT Application Programming Interface 14. A Practical Deployment of Tactile IoT: 3D Models and Mixed Reality to Increase Safety at Construction Sites 15. Haptic and Mixed Reality Enabled Immersive Cockpits for Tele-operated Driving 16. The EFPF Approach to Manufacturing Applications Across Edge-Cloud Architectures 17. The EU-IoT Skills Framework for IoT Training and Career Development Processes 18. Digital Business IoT Maturity Patterns from an EU-IoT Ecosystem
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