UMDataScienceLab

MGDM

The implementation of multi-physics guided diffusion mdoels with manufacturing applications

CGP4CBO

Collaborative Bayesian Optimization via Constrained Gaussian Processes

GIFAIR-FL

GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning

TCMF

The implementation of Triple Component Matrix Factorization

Personalized_FL_with_DA

The implementation of the paper domain adaptation for personalized federated learning

fedensemble

The implementation of Fedensemble

flsimulator

The implementation of Fedensemble

Consensus_Bayesian_Opt

FedMGP

FedEntropy

hmf

The implementation of heterogeneous matrix factorization

Federated-Linear-Models

Federated-Linear-Models

Federated_Gaussian_Process

Fed GP paper

Renyi-GP

R code for https://arxiv.org/abs/1910.06990

LBMAM_perpca

Implementation of the paper Process Signature Characterization and Anomaly Detection with Personalized PCA in Laser-Based Metal Additive Manufacturing

CSADA

Personalized_PCA

An implementation for personalized PCA

SALR

SALR: Sharpness-aware Learning Rate Scheduler for Improved Generalization

WeaklySupervisedMGP

R code for Weakly-supervised multi-output Gaussian processes

FPCA-multistream

R code for "Functional Principal Component Analysis for Extrapolating Multi-stream Longitudinal Data"

Joint_Model

Joint Models for Event Prediction from Time Series and Survival Data, Technometrics 2020.

research

Awesome-Federated-Machine-Learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Awesome-Federated-Learning-1

Federated Learning Library: https://fedml.ai

awesome-federated-learning

resources about federated learning and privacy in machine learning

SGD-in-Gaussain-processes

We show that SGD can indeed be used to infer Gaussian processes. This in turn allows GPs to scale far beyond what was thought possible.

pytorch-cifar

95.16% on CIFAR10 with PyTorch