pythonmachine-learningdeep-learningdistributed-computingopenflsecure-computationcollaborative-learningfederated-learningdistributed-learningprivacy-preserving-machine-learningfederated-learning-frameworkfedavgfedproxpytorch-federated-learningtensorflow-federated-learningkeras-federated-learningfederated-analyticsfederated-deep-learnin...
def client_train_fedprox(data_ref, model, config, calculator): if config['parallel_type'] != 'obj': data = fus.sharable2dataset(data_ref) else: data = data_ref device = calculator.device data_loader = tud.DataLoader(data, batch_size=config['batch_size'], shuffle=True) optimizer = ca...
我们在不同的节点中测试了EMFedAvg与FedAvg/FedProx的性能,并比较了不同数据分布下的模型准确率、收敛速度和EMD距离。实验结果表明,EMFedAvg算法相较于FedAvg/FedProx具有更出色的收敛性能和更高的准确率。此外,EMFedAvg算法还有一个显著优点就是对于异常数据较为鲜明的情况下,EMFedAvg算法的鲁棒性更高;同时,EMFedAvg...
Per-FedAvg的原理请见:arXiv | Per-FedAvg:一种联邦元学习方法。 II. 数据介绍 联邦学习中存在多个客户端,每个客户端都有自己的数据集,这个数据集他们是不愿意共享的。 数据集为某城市十个地区的风电功率,我们假设这10个地区的电力部门不愿意共享自己的数据,但是他们又想得到一个由所有数据统一训练得到的全局模型。
元学习是当下比较热门的一个研究方向,本篇文章将联邦学习和一种模型不可知元学习方法MAML结合起来,提出了一种新的个性化联邦技术Per-FedAvg。 所谓元学习,就是学会学习。利用元学习得到的模型,当我们在面临一个新的任务时,经过很少的训练步骤就可以得到一个比较好的模型,而不必像经典机器学习一样,需要在一个数据集...
More non-iid distributed datasets could be found in FedProx. cd fedpy python data/mnist/generate_random_niid.py python data/mnist/generate_equal.py python data/synthetic/generate_synthetic.py Then start to train. You can run a single algorithm on a specific configuration like python main.py ...
0Tags Code This branch is5 commits ahead ofc-gabri/Federated-Learning-PyTorch:master. README License Federated Visual Classification (PyTorch): SGD, FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx...
Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn - meng1103/Federated-Learning-Non-IID
FedProx (Li et al. MLSys 2020): local solver is proximal SGD; aggregate cumulative local model changes An example launch script is shown below. python main.py --all_clients \ --fed fedavg \ --gpu 0 \ --seed 1 \ --sampling noniid \ --sys_homo \ --num_channels 3 \ --dataset ci...
machine-learning deep-neural-networks computer-vision deep-learning scaffold artificial-intelligence moon knowledge-distillation federated-learning continual-learning distributed-learning fedavg fedprox fedavgm fedcurv feddyn fedntd fednova Updated Feb 24, 2023 Python c...