Integrating Edge Intelligence and Blockchain: What, Why, and How (Wireless Networks)

Preface
Acknowledgments
Contents
Acronyms
1 Introduction
	1.1 A Brief Introduction to EI
	1.2 A Brief Introduction to BC
	1.3 Our Focus
	1.4 Our Contribution
	References
2 Overview of Edge Intelligence and Blockchain
	2.1 Overview of EI
		2.1.1 Definition of EI
		2.1.2 Division of EI
		2.1.3  Deployment of EI
		2.1.4  Applications of EI
	2.2 Overview of BC
		2.2.1 Definition of BC
		2.2.2 Architecture of BC
		2.2.3 Categories of BC
		2.2.4  Application of BC
	References
3 Motivations for Integrating Edge Intelligence with Blockchain
	3.1 The Limitation of EI
	3.2 The Benefit of BC
		3.2.1 Computing-Power Management
		3.2.2 Data Administration
		3.2.3 Model Optimization
	References
4 Blockchain Driven Edge Intelligence
	4.1 BC-Driven Computing-Power Management in EI
		4.1.1 Value-Driven Computing-Power Sharing
		4.1.2 Performance-Driven Computing-Power Allocation
		4.1.3 Service-Driven Computing Offloading
		4.1.4 BC Implementation Tutorial for Computing-Power Management
	4.2 BC-Driven Data Administration in EI
		4.2.1 Incentive Data Trading
		4.2.2 Data Caching Strategy
		4.2.3  Reliable Data Collaboration
		4.2.4 BC Implementation Tutorial for Data Administration
	4.3 BC-Driven Model Optimization in EI
		4.3.1 High Efficiency Training
		4.3.2 Credible Inference
		4.3.3 BC Implementation Tutorial for Model Optimization
	References
5 Tailoring Blockchain to Edge Intelligence
	5.1 Flexible Consensus Protocol Tailoring To EI
		5.1.1 Multi-Functional Design
		5.1.2 Compatibility Enhancement
		5.1.3 Attack Defense
		5.1.4 BC Implementation Tutorial for Consensus Protocol Tailoring
	5.2 Effective Incentive Mechanism Tailoring to EI
		5.2.1 Mining Strategy Optimization
		5.2.2 Risk Prevention Against Cryptocurrency
		5.2.3 BC Implementation Tutorial for Incentive Tailoring
	5.3 Intellectuality Smart Contract Tailoring to EI
		5.3.1 Performance Improvement for Smart Contract
		5.3.2 Threat Detection Against Smart Contract
		5.3.3 BC Implementation Tutorial for Smart Contract Tailoring
	5.4 Scalability Tailoring to EI
		5.4.1 Scalability Improvement
		5.4.2 BC Implementation Tutorial for Scalability Tailoring
	References
6 Research Challenges and Future Directions
	6.1 Comprehensive Architecture
	6.2 Quantization Intelligence
	6.3 Trading Intelligence
	References
Conclusions
Index