8 datasets found

Federated learning has emerged as an important paradigm in modern large-scale machine learning. Unlike in traditional centralized learning where models are trained using large...

The dataset used in this paper is a distributed logistic regression problem.

The dataset used in this paper is a set of parameters for simulating cell zooming with masked data for off-grid small cell networks.

The dataset used in the paper is a generated dataset consisting of 10,000 samples randomly distributed to the nodes of a network of size 100.

The dataset used in the paper is a synthetic dataset for ridge regression problem over a network of agents, modeled as a Erdos-Renyi graph with m = 30 nodes and edge probability...

The dataset used in this paper is a distributed dataset for learning, where the data is distributed over a trusted network and the communication constraints can create a...

The dataset used in the paper is a network of n nodes, where each node holds a local copy of the decision vector zi.

The dataset used in the paper is a network of distributed agents that solve a regression problem. The agents employ the ACTC diffusion strategy, which involves adaptive...