FL-for-Smart-Healthcare

Handy PyTorch implementation of Federated Learning (for your painless research)

PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.

The implementation of FedAvg based on pytorch.

This repository contains all the implementation of different papers on Federated Learning

Three implementations of FedAvg: numpy, pytorch and tensorflow federated.

Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.

An implementation of federated learning research baseline methods based on FedML-core, which can be deployed on real distributed cluster and help researchers to explore more problems existing in real FL systems.

Federated Learning Experiments for Remote Sensing image data using convolution neural networks

An FL algorithm inspired by FedGMA

Centralized Federated Learning using WebSockets and TensorFlow