Abstract: Federated learning (FL) allows multiple clients to collaboratively learn a globally shared model through cycles of model aggregation and local model training, without the need to share data.
Abstract: The Moon’s distinctive spatial weathering environment and the internal dynamics of its evolutionary process have produced intricate lunar characteristics that make remote sensing data ...
dIBTCI, Global Health Technical Assistance and Mission Support Project (GH-TAMS), Washington, DC, United States eUnited States Agency for International Development, Bureau of Global Health, Office of ...
1 Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China Correspondence to Dr Jason C. Yam, Department of Ophthalmology and Visual Sciences, Faculty ...