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Edge AI [[electronic resource] ] : Convergence of Edge Computing and Artificial Intelligence / / by Xiaofei Wang, Yiwen Han, Victor C. M. Leung, Dusit Niyato, Xueqiang Yan, Xu Chen
| Edge AI [[electronic resource] ] : Convergence of Edge Computing and Artificial Intelligence / / by Xiaofei Wang, Yiwen Han, Victor C. M. Leung, Dusit Niyato, Xueqiang Yan, Xu Chen |
| Autore | Wang Xiaofei |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xvii, 149 pages) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Computer communication systems Computer organization Artificial Intelligence Computer Communication Networks Computer Systems Organization and Communication Networks |
| ISBN | 981-15-6186-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Introduction and Fundamentals -- Chapter 1. Introduction -- Chapter 2. Fundamentals of Edge Computing -- Chapter 3. Fundamentals of Artificial Intelligence -- Part II. Artificial Intelligence and Edge Computing -- Chapter 4. Artificial Intelligence Applications on Edge -- Chapter 5. Artificial Intelligence Inference in Edge -- Chapter 6. Artificial Intelligence Training at Edge -- Chapter 7. Edge Computing for Artificial Intelligence -- Chapter 8. Artificial Intelligence for Optimizing Edge -- Part III. Challenges and Conclusions -- Chapter 9. Lessons Learned and Open Challenges -- Chapter 10. Conclusions. |
| Record Nr. | UNINA-9910416083603321 |
Wang Xiaofei
|
||
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Edge AI : Convergence of Edge Computing and Artificial Intelligence / / by Xiaofei Wang, Yiwen Han, Victor C. M. Leung, Dusit Niyato, Xueqiang Yan, Xu Chen
| Edge AI : Convergence of Edge Computing and Artificial Intelligence / / by Xiaofei Wang, Yiwen Han, Victor C. M. Leung, Dusit Niyato, Xueqiang Yan, Xu Chen |
| Autore | Wang Xiaofei |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Springer Singapore, 2020 |
| Descrizione fisica | 1 online resource (xvii, 149 pages) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Computer communication systems Computer organization Artificial Intelligence Computer Communication Networks Computer Systems Organization and Communication Networks |
| ISBN | 981-15-6186-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Introduction and Fundamentals -- Chapter 1. Introduction -- Chapter 2. Fundamentals of Edge Computing -- Chapter 3. Fundamentals of Artificial Intelligence -- Part II. Artificial Intelligence and Edge Computing -- Chapter 4. Artificial Intelligence Applications on Edge -- Chapter 5. Artificial Intelligence Inference in Edge -- Chapter 6. Artificial Intelligence Training at Edge -- Chapter 7. Edge Computing for Artificial Intelligence -- Chapter 8. Artificial Intelligence for Optimizing Edge -- Part III. Challenges and Conclusions -- Chapter 9. Lessons Learned and Open Challenges -- Chapter 10. Conclusions. |
| Record Nr. | UNISA-996465363903316 |
|
Wang Xiaofei
|
||
| Springer Singapore, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Edge AI : Convergence of Edge Computing and Artificial Intelligence / / by Xiaofei Wang, Yiwen Han, Victor C. M. Leung, Dusit Niyato, Xueqiang Yan, Xu Chen
| Edge AI : Convergence of Edge Computing and Artificial Intelligence / / by Xiaofei Wang, Yiwen Han, Victor C. M. Leung, Dusit Niyato, Xueqiang Yan, Xu Chen |
| Autore | Wang Xiaofei |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Springer Singapore, 2020 |
| Descrizione fisica | 1 online resource (xvii, 149 pages) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Computer networks Computer organization Artificial Intelligence Computer Communication Networks Computer Systems Organization and Communication Networks |
| ISBN |
9789811561863
9811561869 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Introduction and Fundamentals -- Chapter 1. Introduction -- Chapter 2. Fundamentals of Edge Computing -- Chapter 3. Fundamentals of Artificial Intelligence -- Part II. Artificial Intelligence and Edge Computing -- Chapter 4. Artificial Intelligence Applications on Edge -- Chapter 5. Artificial Intelligence Inference in Edge -- Chapter 6. Artificial Intelligence Training at Edge -- Chapter 7. Edge Computing for Artificial Intelligence -- Chapter 8. Artificial Intelligence for Optimizing Edge -- Part III. Challenges and Conclusions -- Chapter 9. Lessons Learned and Open Challenges -- Chapter 10. Conclusions. |
| Record Nr. | UNINA-9910863118103321 |
|
Wang Xiaofei
|
||
| Springer Singapore, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Integrating edge intelligence and blockchain : what, why, and how / / Xiaofei Wang [and five others]
| Integrating edge intelligence and blockchain : what, why, and how / / Xiaofei Wang [and five others] |
| Autore | Wang Xiaofei |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (118 pages) |
| Disciplina | 005.74 |
| Collana | Wireless Networks |
| Soggetto topico |
Blockchains (Databases)
Computational intelligence |
| ISBN | 3-031-10186-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- 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. |
| Record Nr. | UNISA-996490353603316 |
|
Wang Xiaofei
|
||
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Integrating edge intelligence and blockchain : what, why, and how / / Xiaofei Wang [and five others]
| Integrating edge intelligence and blockchain : what, why, and how / / Xiaofei Wang [and five others] |
| Autore | Wang Xiaofei |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (118 pages) |
| Disciplina | 005.74 |
| Collana | Wireless Networks |
| Soggetto topico |
Blockchains (Databases)
Computational intelligence |
| ISBN | 3-031-10186-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- 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. |
| Record Nr. | UNINA-9910595054803321 |
|
Wang Xiaofei
|
||
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||