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adasvrg

admm_release

Matlab/Python code for the ADMM part of my thesis ''Alternating Optimization: Constrained Problems, Adversarial Networks, and Robust Models''

admmdtf

A distributed training framework based on ADMM

books-2

俺分享的电子书（涉及多个学科）

ccd

Cyclic Coordinate Decent ++ (CCD++) algorithm for matrix factorization, paralleled by MPI.

cplusplus-primer

Learning C++ language

cs244bparameterserver

Course homework <Implementing and Benchmarking a Fault-Tolerant Parameter Server for Distributed Machine Learning Applications>

dsgd

Distributed Stochastic Gradient Descent (DSGD) algorithm for matrix factorization, paralleled by MPI.

empi

Enhanced Message Passing Interface in Modern C++

gloo

Collective communications library with various primitives for multi-machine training.

gradient-compression-methods

gssp

gzhwanghub

Config files for my GitHub profile.

gzhwanghub.github.io

hands-on-machine-learning-with-cpp

Hands-On Machine Learning with C++, published by Packt

hetu

A high-performance distributed deep learning system targeting large-scale and automated distributed training.

hugo-blox-builder

😍 EASILY BUILD THE WEBSITE YOU WANT - NO CODE, JUST MARKDOWN BLOCKS! 使用块轻松创建任何类型的网站 - 无需代码。 一个应用程序，没有依赖项，没有 JS

icsa-shu

Intelligent Computing System and Application Laboratory (ICSA) belongs to the School of Computer Engineering and Science, Shanghai University, and is located in the 804 Laboratory of the East Computer Building, Baoshan Campus, Shanghai University.

jensen

A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)

poisoning-attacks

Initial code for "CONTRA: Defending against Poisoning Attacks in Federated Learning" published in ESORICS 2021

sgdlibrary

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

stochqn

(Python, Tensorflow, R, C, C++) Stochastic, limited-memory quasi-Newton optimizers (adaQN, SQN, oLBFGS)

theme-academic-cv

🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.

understanding-admm

This repository is an introduction and is inspired by applications of Alternating Direction Method of Multipliers (ADMM) for convex optimization problems. Their applications are discussed in the report. The codes in this repository are slight modifications of original author Stephen P. Boyd, Stanford University