WuwuHao

project-based-learning

Curated list of project-based tutorials

Blockchain_Enabled_Federated_learning

A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model updates. This repo hosts an simulated implementation for described model written in Python.

federated-learning-blockchain

The Project's goal is to simulate a decentralised approach to building machine learning models while protecting the privacy of users.

BFL

Blockchain federated learning

Chain-PPFL

Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC

CryptoFL

Cryptographically Secure Aggregation for Federated Learning

flchain

Federated learning + blockchain example

dfl-working-group

DFL working group

federated_learning_HE

基于同态加密的联邦学习安全聚合系统

BEAS

BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning

federated-learning-blockchain

Implementation of Federated Learning and Blockchain for training machine learning models using a decentralized approach thereby attempting to protect users' sensitive data .

blockchain_enabled_federated_learning

Simulation-based performance analysis of server-less Blockchain-enabled Federated Learning

federated-learning-token

Federated learning on blockchain using smart contracts. Distributed privacy-preserving data science technology.

GrouProx

FedGroup, A Clustered Federated Learning framework based on Tensorflow

Emotion-detection-from-text-using-PyTorch-and-Federated-Learning

Emotion detection from text using PyTorch and Federated Learning

federated-learning

A distributed fedrated learning system on the blockchain.

FL-bench

Benchmark of federated learning. Dedicated to the community. 🤗

Practicing-Federated-Learning

easyFL

An experimental platform for federated learning.

flower

Flower: A Friendly Federated Learning Framework

SAFEFL

SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning

Federated-Learning-PyTorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data