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• structure of the book

Structure of this WiKi

1.Introduction

1.1 What is Edge Computing

1.2 Why We Need Edge Computing

1.3 Edge Computing Application Domains and Typical Applications

1.4 Different Edge Computing Paradigms (include Cloud-Edge Continuum here)

2.Edge Computing Architecture and Layers

2.1 IoT, Mobile, and Digital Twins

2.2 Cloud

2.3 Edge and Fog

2.4 Edge-Cloud Continuum

3.Edge Computing Products and Frameworks

3.1 Industry Products: AWS as an Example

3.2 Open Source Frameworks

3.3 Serverless at the Edge

4.Machine Learning at the Edge

4.1 Overview of ML at the Edge

4.2 ML Training at the Edge

4.3 ML Model Optimization for the Edge

4.4 Federated Learning

5.Edge Security and Privacy

5.1 Overview of Security Challenges in Edge Computing

5.2 Data Privacy and Compliance in Edge Applications

5.3 Security Protocols and Frameworks for Edge Systems

5.4 Case Studies: Real-World Security Breaches

6. Emerging Research Directions

6.1 Task and Resource Scheduling

6.2 Edge for AR/VR

6.3 Vehicle Computing

6.4 Energy-Efficient Edge Architectures

7.Conclusion and Future Outlook (cannot be chosen by students)