A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)

DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)

FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.

A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.

Stochastic Gradient Push for Distributed Deep Learning

Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470

PyTorch library for adversarial attack and training

This project's goal is to evaluate the privacy leakage of differentially private machine learning models.

Machine learning semantic segmentation - Random Forest, SVM, GBC

Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery

Library for Bayesian inference via sequential Monte Carlo for quantum parameter estimation.

Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356

A distributed fedrated learning system on the blockchain.

Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010

Code for the IEEE S&P 2018 paper 'Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning'

Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget

Data poisoning attack of recommend system using the algorithm of MF.

P2P Distributed deep learning framework that runs on PyTorch.

using keras, about ISBI Challenge: Segmentation of neuronal structures in EM stacks

Code of NeurIPS 2019 paper: Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients

This the implementation of PMF using Pytorch

Evaluation runtime for Phase 2 of the PETs Prize Challenge

Distributed Privacy-Aware Choice Modelling using Federated Learning over Blockchain