Abstract: In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and ...
It uses a system called simplified molecular-input line-entry system (SMILES). This translates chemical 3D structures into ...
Researchers at the California NanoSystems Institute at UCLA published a step-by-step framework for determining the ...
Abstract: Submerged aquatic vegetation (SAV) is crucial for maintaining a clear-water state in lakes. Tracking the spatiotemporal changes in SAV is crucial for understanding the ecological evolution, ...