107 Open source projects that are alternatives of or similar to Federated-Learning-Mini-Framework

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…

TensorBasicModel

This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

A Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.

Federated Principal Component Analysis Revisited!

Implement popular models by different DL framework. Such as tensorflow and caffe

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)

Federated posterior averaging implemented in JAX

Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary

FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)

Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'

Bottleneck Transformers for Visual Recognition

Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)

电力人工智能数据竞赛——安全帽未佩戴行为目标检测赛道基准模型

Implementation of Federated Learning to Person Re-identification (Code for ACMMM 2020 paper)

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

The implementation of "Towards Faster and Better Federated Learning: A Feature Fusion Approach" (ICIP 2019)

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

Implementation of Conv-based and Vit-based networks designed for CIFAR.

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

Federated Learning on HyperLedger Aries

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

tf implementation of federated learning

Full stack service enabling decentralized machine learning on private data

DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)

ResNet for Cifar10

A numpy based CNN implementation for classifying images

Unofficial pytorch implementation of ReZero in ResNet

FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

Bachelor's Thesis in Computer Science: Privacy-Preserving Federated Learning Applied to Decentralized Data

Proof of Concept of a Federated Learning framework that maintains the privacy of the participants involved.

anomaly detection by one-class SVM

Various implementations and projects on CNN, RNN, LSTM, GAN, etc

Generative Adversarial Networks in TensorFlow 2.0

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

Keras implementation of temporal ensembling(semi-supervised learning)

Standard federated learning implementations in FedLab and FL benchmarks.

FedScale is a scalable and extensible open-source federated learning (FL) platform.

Healthcare-Researcher-Connector Package: Federated Learning tool for bridging the gap between Healthcare providers and researchers

Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

Substra is a framework for traceable ML orchestration on decentralized sensitive data.

PyTorch implementation of shake-drop regularization

Privacy Preserving Vertical Federated Learning

Proof Of Concept of DEcentralised Machine Learning on top of the Golem (https://golem.network/) architecture

Train DenseNet on Cifar-10 based on Keras

DAWNBench: An End-to-End Deep Learning Benchmark and Competition

Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.

Pretrained TorchVision models on CIFAR10 dataset (with weights)

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

The core runtime engine for Ambianic Edge devices.

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

practice on CIFAR10 with Keras

Model-Contrastive Federated Learning (CVPR 2021)

FedGroup, A Clustered Federated Learning framework based on Tensorflow

FedNLP: An Industry and Research Integrated Platform for Federated Learning in Natural Language Processing, Backed by FedML, Inc. The Previous Research Version is Accepted to NAACL 2022