Artificial Intelligence Using Federated Learning
portes grátis
Artificial Intelligence Using Federated Learning
Fundamentals, Challenges, and Applications
Balas, Valentina E.; Oliva, Diego; Elngar, Ahmed A
Taylor & Francis Ltd
12/2024
344
Dura
9781032771649
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Federated Learning: Overview, Challenges and Ethical Considerations. 2. In-depth Analysis of Artificial Intelligence Practices: Robot Tutors and Federated Learning Approach in English Education. 3. Enabling Federated Learning in the Classroom: Sociotechnical Ecosystem on Artificial Intelligence Integration in Educational Practices. 4. Real-Time Implementation of Improved Automatic Number Plate Recognition Using Federated Learning. 5. Fake Currency Identification Using Artificial Intelligence and Federated Learning. 6. Blockchain-Enhanced Federated Learning for Privacy-Preserving Collaboration. 7. Federated Learning-based Smart Transportation Solutions: Deploying Lightweight Models on Edge Devices in the Internet of Vehicle. 8. Application of Artificial Intelligence (AI) and Federated Learning (FL) in Petroleum Processing. 9. Artificial Intelligence Using Federated Learning. 10. Applications of Federated Learning in AI, IoT, Healthcare, Finance, Banking and Cross-Domain Learning. 11. Exploring Future Trends and Emerging Applications: A Glimpse into Tomorrow's Landscape. 12. Securing Federated Deep Learning: Privacy Risks and Countermeasures. 13. IoT Networks: Integrated Learning For Privacy-Preserving Machine Learning. 14. Federated Query Processing for Data Integration using Semantic Web Technologies: A Review.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
- Engenharia de produção
- Arquitectura do computador e projecto lógico
- Análise e projecto de sistemas
- Privacidade e protecção de dados
- Teoria da codificação e criptologia
- Inteligência artificial
- Engenharia do controlo automático
- Mineração de Dados
- Aspectos jurídicos da Tecnologia Informática
- Engenharia electrotécnica
Incentive Mechanism Design;Data Privacy and Security;Blockchain-Based;Machine Learning;Deep Learning;Cryptography
1. Federated Learning: Overview, Challenges and Ethical Considerations. 2. In-depth Analysis of Artificial Intelligence Practices: Robot Tutors and Federated Learning Approach in English Education. 3. Enabling Federated Learning in the Classroom: Sociotechnical Ecosystem on Artificial Intelligence Integration in Educational Practices. 4. Real-Time Implementation of Improved Automatic Number Plate Recognition Using Federated Learning. 5. Fake Currency Identification Using Artificial Intelligence and Federated Learning. 6. Blockchain-Enhanced Federated Learning for Privacy-Preserving Collaboration. 7. Federated Learning-based Smart Transportation Solutions: Deploying Lightweight Models on Edge Devices in the Internet of Vehicle. 8. Application of Artificial Intelligence (AI) and Federated Learning (FL) in Petroleum Processing. 9. Artificial Intelligence Using Federated Learning. 10. Applications of Federated Learning in AI, IoT, Healthcare, Finance, Banking and Cross-Domain Learning. 11. Exploring Future Trends and Emerging Applications: A Glimpse into Tomorrow's Landscape. 12. Securing Federated Deep Learning: Privacy Risks and Countermeasures. 13. IoT Networks: Integrated Learning For Privacy-Preserving Machine Learning. 14. Federated Query Processing for Data Integration using Semantic Web Technologies: A Review.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
- Engenharia de produção
- Arquitectura do computador e projecto lógico
- Análise e projecto de sistemas
- Privacidade e protecção de dados
- Teoria da codificação e criptologia
- Inteligência artificial
- Engenharia do controlo automático
- Mineração de Dados
- Aspectos jurídicos da Tecnologia Informática
- Engenharia electrotécnica