手把手教你用NVIDIA FLARE做FedAvg和FedProx对比实验
本教程使用NVIDIA FLARE构建联邦学习实验，在非IID CIFAR-10数据集上比较FedAvg和FedProx算法。客户端数据通过Dirichlet分布分割以模拟现实中的标签不平衡。利用NVFlare Job API定义和启动联邦任务。教程包含具体实现步骤和性能对比。
Step by Step Guide to Build and Compare FedAvg and FedProx Federated Learning on Non-IID CIFAR-10 with NVIDIA FLARE
In this tutorial, we build an advanced federated learning experiment with NVIDIA FLARE. We compare FedAvg and FedProx on a non-IID CIFAR-10 setup, where client data is split using a Dirichlet distribution to simulate realistic label imbalance across federated sites. We use the NVFlare Job API to define and launch federated jobs, while the Client […] The post Step by Step Guide to Build and Compare FedAvg and FedProx Federated Learning on Non-IID CIFAR-10 with NVIDIA FLARE appeared first on MarkTechPost .