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Работы, на которые ссылается эта работа
Работ: 21
Работа: Federated Digital Twins for Secure and Scalable Smart Infrastructure
Digital Twin: Enabling Technologies, Challenges and Open Research
Aidan Fuller, Zhong Fan, Charles Day +1
Статья2020Цитирований: 5ABIAdvances and Open Problems in Federated Learning
Peter Kairouz, H. Brendan McMahan, Brendan Avent +56
Статья2020Цитирований: 5ABITowards Personalized Federated Learning
Alysa Ziying Tan, Han Yu, Lizhen Cui +1
Статья2022Цитирований: 3ABICharacterising the Digital Twin: A systematic literature review
David Jones, Chris Snider, Aydin Nassehi +2
Статья2020Цитирований: 3ABIA digital twin smart city for citizen feedback
Gary White, Anna Zink, Lara Codecà +1
Статья2021Цитирований: 3ABIFederated Learning for Internet of Things: A Comprehensive Survey
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana +3
Статья2021Цитирований: 3ABIThe future of digital health with federated learning
Nicola Rieke, Jonny Hancox, Wenqi Li +14
Статья2020Цитирований: 2ABIConvergence of Edge Computing and Deep Learning: A Comprehensive Survey
Xiaofei Wang, Yiwen Han, Victor C. M. Leung +3
Статья2020Цитирований: 2ABIFederated Learning: Challenges, Methods, and Future Directions
Tian Li, Anit Kumar Sahu, Ameet Talwalkar +1
Статья2020Цитирований: 2ABIFederated Learning With Differential Privacy: Algorithms and Performance Analysis
Kang Wei, Jun Li, Ming Ding +6
Статья2020Цитирований: 2ABI