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21 ta ish
Ish: Federated Digital Twins for Secure and Scalable Smart Infrastructure
Digital Twin: Enabling Technologies, Challenges and Open Research
Aidan Fuller, Zhong Fan, Charles Day +1
Maqola20205 iqtibosABIAdvances and Open Problems in Federated Learning
Peter Kairouz, H. Brendan McMahan, Brendan Avent +56
Maqola20205 iqtibosABITowards Personalized Federated Learning
Alysa Ziying Tan, Han Yu, Lizhen Cui +1
Maqola20223 iqtibosABICharacterising the Digital Twin: A systematic literature review
David Jones, Chris Snider, Aydin Nassehi +2
Maqola20203 iqtibosABIA digital twin smart city for citizen feedback
Gary White, Anna Zink, Lara Codecà +1
Maqola20213 iqtibosABIFederated Learning for Internet of Things: A Comprehensive Survey
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana +3
Maqola20213 iqtibosABIThe future of digital health with federated learning
Nicola Rieke, Jonny Hancox, Wenqi Li +14
Maqola20202 iqtibosABIConvergence of Edge Computing and Deep Learning: A Comprehensive Survey
Xiaofei Wang, Yiwen Han, Victor C. M. Leung +3
Maqola20202 iqtibosABIFederated Learning: Challenges, Methods, and Future Directions
Tian Li, Anit Kumar Sahu, Ameet Talwalkar +1
Maqola20202 iqtibosABIFederated Learning With Differential Privacy: Algorithms and Performance Analysis
Kang Wei, Jun Li, Ming Ding +6
Maqola20202 iqtibosABI