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Ish: Federated Learning for Rare Disease Diagnosis and Research: A Systematic Review of Methods for Handling Extreme Data Scarcity, Class Imbalance, and Site Heterogeneity
Advances and Open Problems in Federated Learning
Peter Kairouz, H. Brendan McMahan, Brendan Avent +56
Maqola20207 iqtibosABIFederated Learning: Challenges, Methods, and Future Directions
Tian Li, Anit Kumar Sahu, Ameet Talwalkar +1
Maqola20206 iqtibosABIThe future of digital health with federated learning
Nicola Rieke, Jonny Hancox, Wenqi Li +14
Maqola20205 iqtibosABIFederated Learning With Differential Privacy: Algorithms and Performance Analysis
Kang Wei, Jun Li, Ming Ding +6
Maqola20204 iqtibosABI