som-don Goto Github PK

flsim

A simulation framework for Federated Learning written in PyTorch

fppdl

code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"

galaxydataset

A modular evaluation metrics and a benchmark for large-scale federated learning

gfl

Galaxy Federated Learning Framework （星际联邦学习框架）

haal

Hääl - Anonymous Electronic Voting System on Public Blockchains

incubator-teaclave-sgx-sdk

Apache Teaclave (incubating) SGX SDK helps developers to write Intel SGX applications in the Rust programming language, and also known as Rust SGX SDK.

incubator-teaclave-trustzone-sdk

Teaclave TrustZone SDK enables safe, functional, and ergonomic development of trustlets.

info8010-deep-learning

Lectures for INFO8010 - Deep Learning, ULiège

ink

Parity's ink! to write smart contracts

ipfs-multihash-on-solidity

Example on Solidity and web3.js to store IPFS hash

jeddak

js-ipfs

IPFS implementation in JavaScript

kgs-survey

This is a repository of knowledge graphs survey paper that will be updated periodically.

knowledge-graph

知识图谱-概念与技术

knowledgegraphcourse

东南大学《知识图谱》研究生课程

ldp_protocols

Sample LDP implementation in Python

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

ltp

Language Technology Platform

machine-learning-diff-private-federated-learning

Simulate a federated setting and run differentially private federated learning.

obliv-c

paillier-lwe-based-phe

Privacy-Preserving Deep Learning via Additively Homomorphic Encryption

pfe-sgx

An implementation for Private Function Evaluation using SGX Intel technology

pfedme

Personalized Federated Learning using Pytorch (pFedMe)

phala-blockchain

The Phala Network Blockchain, pRuntime and the bridge.

popdx

Python implementation of POPDx - Predictions for unseen, rare, and common labels.

ppfl

Privacy-preserving Federated Learning with Trusted Execution Environments

predicting-students-at-risk-using-deep-learning

Machine learning algorithms have lately gained popularity for analyzing educational data and uncovering hidden meaningful patterns for predicting student grades. In this project students academic performance classification is tackled by first identifying and extracting features that have an impact in students academic performance

private-ai

Repository with tutorials and applications of Private-AI algorithms with PySyft

privatedeeplearning

Differential Privacy Preservation in Deep Learning under Model Attacks

project

Overall project configuration and documentation