Search Results for author:
Found 2 papers, 1 papers with code
Greedy Shapley Client Selection for Communication-Efficient Federated Learning
The standard client selection algorithms for Federated Learning (FL) are often unbiased and involve uniform random sampling of clients.
Estimating Joint Probability Distribution With Low-Rank Tensor Decomposition, Radon Transforms and Dictionaries
In this paper, we describe a method for estimating the joint probability density from data samples by assuming that the underlying distribution can be decomposed as a mixture of product densities with few mixture components.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
