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Scaffold: Stochastic Controlled Averaging for Federated Learning
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... -
Human Brain Cell Type Classification data set
The dataset used for the experiments with federated learning on transcriptomic data. -
Acute Myeloid Leukemia data set
The dataset used for the experiments with federated learning on transcriptomic data. -
CHM-NIST dataset
The CHM-NIST dataset is a real-world dataset used in the paper. -
Purchase dataset
The Purchase dataset is a real-world dataset used in the paper. -
Location dataset
The Location dataset is a real-world dataset used in the paper. -
Multi-Task Learning for Federated Classification and Regression
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... -
1-Bit Compressive Sensing for Efficient Federated Learning Over the Air
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... -
Sent140 dataset
The dataset used in the paper is a real-world dataset for sentiment analysis. -
FEMNIST dataset
Mobile crowdsensing has gained significant attention in recent years and has become a critical paradigm for emerging Internet of Things applications. The sensing devices... -
Simulated Federated Learning-Based Prognostics Dataset
The dataset used in this paper is a simulated dataset for federated learning-based prognostics. -
UCI Bank Marketing Dataset (UBMD), Lesion Disease Classification (LDC) and CIF...
The authors used the UCI Bank Marketing Dataset (UBMD), Lesion Disease Classification (LDC) and CIFAR-10 datasets for their experiments. -
Light Federated and Continual Consensus (LFedCon2)
A federated and continual learning framework for classification tasks in a society of devices -
Unsupervised Clustered Federated Learning in Complex Multi-source Acoustic En...
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.
