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📬 A knowledge graph querying framework for JavaScript

Heterogeneous Pre-trained Transformer (HPT) as Scalable Policy Learner.

You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.

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 provided

This is a platform containing the datasets and federated learning algorithms in IoT environments.

CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning

Heterogeneous Multi-Robot Reinforcement Learning

AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning

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goal of this project is to improve and update aspects of existing benchmarking suites which are either insufficient or outdated.

[INFOCOM24' & TDSC25']FedPHE & Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning

KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy

QGIS plugin of geographical detector

Spatial analysis toolkit for single cell multiplexed tissue data

Texture Analysis test tool for PET images

ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning

A python implementation of spatial entropy

Bayesian modelling of DNA methylation heterogeneity at single-cell resolution

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 been scrutinized using bivariate analysis and manipulation into a single dimension.

WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.

Field scale model generation and upscaling toolkit

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

📬 Comunica packages for exposing query execution through MCP

Iteratively Adjusted Surrogate Variable Analysis

Adaptive Guidance for Local Training in Heterogeneous Federated Learning

Classifying Breast Cancer Molecular Subtypes