37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.
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Updated
Sep 19, 2024 - Python
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.
📬 A knowledge graph querying framework for JavaScript
PureEdgeSim: A simulation framework for performance evaluation of cloud, fog, and pure edge computing environments.
HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data
PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visual classification. Client distributions are synthesized with arbitrary non-identicalness and imbalance (Dirichlet priors). Client systems can be arbitrarily heterogeneous. Several mobile-friendly models are prov…
This is a platform containing the datasets and federated learning algorithms in IoT environments.
A benchmarking suite for heterogeneous systems. The primary goal of this project is to improve and update aspects of existing benchmarking suites which are either insufficient or outdated.
Heterogeneous Multi-Robot Reinforcement Learning
Spatial analysis toolkit for single cell multiplexed tissue data
QGIS plugin of geographical detector
Texture Analysis test tool for PET images
Bayesian modelling of DNA methylation heterogeneity at single-cell resolution
A python implementation of spatial entropy
WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.
an R package for testing, estimating and evaluating the Panel Smooth Transition Regression (PSTR) model.
Inspired by Hillebrand & Medeiros (2009) and Corsi (2009), I put neural networks in a High frequency environment, and tested the performance of the two models (HAR & Neural Networks). - The data used in this project is 2 years worth of intraday 5-minute realized volatility (See: Sheppard, Patton, Liu, 2012) from 20 Dow Jones stocks, that has bee…
Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning
A general Python framework for using hidden Markov models on binary trees or cell lineage trees.
Single-cell transcriptomics and epigenomics unravel the role of monocytes in neuroblastoma bone marrow metastasis
Classifying Breast Cancer Molecular Subtypes
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