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.
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.
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
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.
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.
Classifying Breast Cancer Molecular Subtypes
The tools for estimating methylation heterogeneity
This is the code for the chromatin packing model in macrogenomics engineering study
Plotting utility for a "clockplot" that puts groups into a time-ordered heterogeneity visualization
Generalization of Stable Marriage Problem: group sizes and active members within each group
[MS Thesis] Distribution-Aware Participant Selection for Federated Learning
Scripts used for the simulations in Ghysels et al. (2019)
HIV mdelling project on intersections of risk (FSW) & intervention (ART) heterogeneity based on Eswatini
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