11 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 for the experiments with federated learning on transcriptomic data.

The dataset used for the experiments with federated learning on transcriptomic data.

The proposed algorithm allows personalizing the learning model for each participant without sharing the training data and improves the performance, compared to that of the...

This paper develops and analyzes a communication-efficient scheme for federated learning (FL) over the air, which incorporates 1-bit compressive sensing (CS) into analog...

The dataset used in the paper is a real-world dataset for sentiment analysis.

Mobile crowdsensing has gained significant attention in recent years and has become a critical paradigm for emerging Internet of Things applications. The sensing devices...

The dataset used in this paper is a simulated dataset for federated learning-based prognostics.

The authors used the UCI Bank Marketing Dataset (UBMD), Lesion Disease Classification (LDC) and CIFAR-10 datasets for their experiments.

A federated and continual learning framework for classification tasks in a society of devices

The dataset is a complex multi-source acoustic environment and an improved algorithm for the estimation of source-dominated microphone clusters in acoustic sensor networks.