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Federated cINN Clustering Algorithm
Federated cINN Clustering Algorithm (FCCA) uses MNIST, FMNIST, Cifar10, Cifar100 and Synthetic datasets for experiments. -
Synthetic Distributed Optimization Dataset
The dataset used in the paper is a synthetic dataset for distributed optimization, consisting of 15 nodes with a ring topology and a sparse network. -
Synthetic dataset with non-normal quality
The dataset used in the paper is a synthetic dataset with non-normal quality, generated from a normal distribution N (1, 1). -
Synthetic Dataset for CLEAR Algorithm
The dataset used in the paper is a synthetic dataset for testing the CLEAR algorithm. -
Synthetic Binary Dataset
A synthetic binary dataset of desired characteristics, comprising 3000 instances with 20 features. -
Synthetic Matrix
The dataset used in the paper is a synthetic matrix M ∈ Rm×n of rank k. -
Synthetic Time Series Dataset
A synthetic univariate time series dataset created using a unique synthetic time series generator algorithm -
Parallel Domain (PD)
A synthetic dataset for multi-object tracking, providing ground truth annotations for invisible objects. -
Falling-Shoe
A synthetic dataset of shoes for training and testing the proposed method. -
Synthetic Dataset
The dataset used in this work is a custom synthetic dataset generated using the liquid-dsp library, containing 600000 examples of each of 13.8 million examples, with SNRs...