当联邦学习遇见自动驾驶:GitHub - rruisong/Awesome-Federated-Learning-for-Autonomous-Driving: FedML for Autonomous Driving (AD), Intelligent Transportation Systems (ITS), Connected and Automated Vehicles (CAV)
def__init__(self,name,epoch,dataset_id,model_name):"""Initialize the client k for federated learning.:param name: Name of the client k:param epoch: Number of local training epochs in the client k:param dataset_id: Local dataset in the client k:param model_name: Local model in the cl...
基于pytorch的DeepLearning学习笔记 最近开始学深度学习框架pytorch,从最简单的卷积神经网络开始了解pytorch的框架。以下涉及到的代码完整版请查看https://github.com/XieHanS/CPSC_ECGHbClassify_demo.git 基于pytorch的DL主要分为三个模块,数据块,模型块,和训练块。具体如下: 1、 数据集 pytorch提供有专门的数据下载,...
PyTorch Implementation of Federated Learning Baselines PyTorch-Federated-Learning provides various federated learning baselines implemented using the PyTorch framework. The codebase follows a client-server architecture and is highly intuitive and accessible. If you find this repository useful, please let me ...
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research. - normallama/FedLab
Federated-Learning (PyTorch) Implementation of the vanilla federated learning paper : Communication-Efficient Learning of Deep Networks from Decentralized Data. Experiments are produced on MNIST, Fashion MNIST and CIFAR10 (both IID and non-IID). In case of non-IID, the data amongst the users can...
First, we propose a functional architecture of federated learning systems and a taxonomy of related techniques. Second, we explain the federated learning systems from four aspects: diverse types of parallelism, aggregation algorithms, data communication, and the security of federated learning systems. ...
Federated-Learning (PyTorch) Implementation of the vanilla federated learning paper : Communication-Efficient Learning of Deep Networks from Decentralized Data. Experiments are produced on MNIST, Fashion MNIST and CIFAR10 (both IID and non-IID). In case of non-IID, the data amongst the users can...
Galaxy Federated Learning Framework(GFL)is a decentralized federated learning framework based on blockchain. GFL builds a decentralized communication network based on Ethereum, and executes key operations that requires credibility in FL through smart contracts. ...
PySyft：基于PyTorch，简单直观，暂时只支持科研用途。Federated AI Technology Enabler (FATE)：来自微众...