Trustworthy Federated Learning

Kaydedildi:

Detaylı Bibliyografya
Yazar:	Goebel, Randy
Diğer Yazarlar:	Yu, Han, Faltings, Boi, Fan, Lixin, Xiong, Zehui
Materyal Türü:	Ekitap
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Springer Nature, 2023.
Konular:	Computer Science
Online Erişim:	Access eBook
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Benzer Materyaller: Trustworthy Federated Learning

Hızlı Bakış
Handbook of Trustworthy Federated Learning
Hızlı Bakış
Federated Learning
Hızlı Bakış
Trustworthy Machine Learning for Healthcare
Hızlı Bakış
Federated Learning
Hızlı Bakış
Blockchain and Trustworthy Systems
Hızlı Bakış
Blockchain and Trustworthy Systems
Hızlı Bakış
Security and Privacy in Federated Learning
Hızlı Bakış
The Fundamental Research for Trustworthy Software
Hızlı Bakış
Trustworthy Artificial Intelligence for Healthcare
Hızlı Bakış
Blockchain, Metaverse and Trustworthy Systems
Hızlı Bakış
Blockchain, Metaverse and Trustworthy Systems
Hızlı Bakış
Engineering Trustworthy Software Systems
Hızlı Bakış
Communication Efficient Federated Learning for Wireless Networks
Hızlı Bakış
Federated Cyber Intelligence
Hızlı Bakış
Revisiting Trustworthiness in Social Interaction:
Hızlı Bakış
Cross-device Federated Recommendation
Hızlı Bakış
Federated Learning in the Age of Foundation Models - FL 2024 International Workshops
Hızlı Bakış
VLSI-SoC 2023: Innovations for Trustworthy Artificial Intelligence
Hızlı Bakış
Handbook on Federated Learning:Advances, Applications and Opportunities
Hızlı Bakış
Trustworthy AI in Cancer Imaging Research
Hızlı Bakış
The Politics of Federalization in Myanmar:
Hızlı Bakış
Convergence of AI, Federated Learning, and Blockchain for Sustainable Development
Hızlı Bakış
Federated Learning for Internet of Medical Things:Concepts, Paradigms, and Solutions
Hızlı Bakış
Transformative AI:Responsible, Transparent, and Trustworthy AI systems