git clone https://github.com/TsingZ0/PFLlib.git Build evaluation scenarios (see Datasets and scenarios (updating)). Run evaluation: cd ./system python main.py -data mnist -m cnn -algo FedAvg -gr 2000 -did 0 # using the MNIST dataset, the FedAvg algorithm, and the 4-layer CNN model ...
git clone https://github.com/TsingZ0/PFLlib.git Create proper environments (seeEnvironments). Build evaluation scenarios (seeDatasets and scenarios (updating)). Run evaluation: cd./system python main.py -data MNIST -m CNN -algo FedAvg -gr 2000 -did 0#using the MNIST dataset, the FedAvg al...
git clone https://github.com/TsingZ0/PFLlib.git Build evaluation scenarios (seeDatasets and scenarios (updating)). cd./system python main.py -data mnist -m cnn -algo FedAvg -gr 2000 -did 0#using the MNIST dataset, the FedAvg algorithm, and the 4-layer CNN model ...
# https://github.com/jindongwang/Deep-learning-activity-recognition/blob/master/pytorch/data_preprocess.py import numpy as np import ujson Expand Down 17 changes: 0 additions & 17 deletions 17 dataset/utils/dataset_utils.py Show comments View file Edit file Delete file This file contains bid...
git clone https://github.com/TsingZ0/PFLlib.git Create proper environments (see Environments). Build evaluation scenarios (see Datasets and scenarios (updating)). Run evaluation: cd ./system python main.py -data MNIST -m CNN -algo FedAvg -gr 2000 -did 0 # using the MNIST dataset, the ...
GitHub突破1000星!上交、清华开源个性化联邦学习算法库PFLlib 联邦学习(FL)作为一种新型的分布式机器学习范式,它主要用于训练人工智能(AI)模型。除了传统分布式机器学习的跨设备协同训练 AI 模型的特点之外,联邦学习的特殊性主要体现在保护每个设备上数据隐私的能力。
我们在 GitHub 上开源了一个个性化联邦学习算法仓库(PFLlib),目前已经获得 1K+ 个 Star 和 200+ 个 Fork,在业内收到了广泛的好评。PFLlib 囊括了 34 个联邦学习算法(其中包含 27 个个性化联邦学习算法)、3 大类数据异质场景、20 个数据...
env.sh env.yml env_cuda_latest.yaml environment.yml git-push.service git-push.sh gpu_utils.py main.py pip_requirements.txt requirements.txt run.sh runner.py start_auto_push.sh structure.pngBreadcrumbs PFLlib / env.sh Latest commit leon.kepler new 15e09e5· Jan 28, 2024 HistoryHistory ...
我们在 GitHub 上开源了一个个性化联邦学习算法仓库(PFLlib),目前已经获得 1K+ 个 Star 和 200+ 个 Fork,在业内收到了广泛的好评。PFLlib 囊括了 34 个联邦学习算法(其中包含 27 个个性化联邦学习算法)、3 大类数据异质场景、20 个数据集。 开源该仓库的主要目的是:1)降低初学者研究个性化联邦学习算法的门槛...
git clone https://github.com/TsingZ0/PFLlib.git cd./system python main.py -data mnist -m cnn -algo FedAvg -gr 2000 -did 0#using the MNIST dataset, the FedAvg algorithm, and the 4-layer CNN model Or you can uncomment the lines you need in./system/examples.shand run: ...