Search Results for author:
Found 2 papers, 1 papers with code
Personalized Federated Learning via Sequential Layer Expansion in Representation Learning
In this paper, we compare and analyze two layer scheduling approaches, namely forward (\textit{Vanilla}) and backward (\textit{Anti}), in the context of data and class heterogeneity among clients.
Application of Genetic Algorithm for More Efficient Multi-Layer Thickness Optimization in Solar Cells
The commonplace method used in optimization simulations, such as for optimizing the optical spacer layers' thicknesses, is the parameter sweep.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
