221 Open source projects that are alternatives of or similar to easyFL

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

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…

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

common runtime environment for distributed programming languages

FedGroup, A Clustered Federated Learning framework based on Tensorflow

Distributed process pool for Python

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

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

Prime95 source code from GIMPS to find Mersenne Prime.

dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.

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

Julia Operators LIbrary

[GSoC] Distributed Data Structures - Collections Framework for Chapel language

Simple shared surface streaming application

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

An Asynchronous Distributed C++ Array Processing Toolkit

Model-Contrastive Federated Learning (CVPR 2021)

😇 A Docker Compose bundle to run on servers with spare CPU, RAM, disk, and bandwidth to help the world. Includes Tor, ArchiveWarrior, BOINC, and more...

A reading list on blockchain and related technologies, targeted at technical people who want a deep understanding of those topics.

Legacy code connected to the high-assurance implementation of the Ouroboros protocol family

Federated posterior averaging implemented in JAX

KAR: A Runtime for the Hybrid Cloud

SANSA Query Layer

Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin

Privacy Preserving Vertical Federated Learning

Yet another distributed compute framework

Python framework for asynchronous, concurrent, distributed, network programming with coroutines

This is a collection of papers and other resources related to fairness.

Materials related to my talk "Pat Helland and Me"

A library that implements fairness-aware machine learning algorithms

Full stack service enabling decentralized machine learning on private data

A distributed compute and database platform for quantum chemistry.

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

A showcase for Proto.Actor - an ultra-fast distributed actors solution for Go, C#, and Java/Kotlin.

SANSA Machine Learning Layer

Examples of unfairness detection for a classification-based credit model

🚀 R package future.batchtools: A Future API for Parallel and Distributed Processing using batchtools

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

Build and submit workflows to HTCondor in Python

🎛 Distributed machine learning made simple.

Python for streams

Jessica - Jessie (secure distributed Javascript) Compiler Architecture

Label images from Unsplash in browser - using MobileNet on Tensorflow.Js

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

A distributed block-based data storage and compute engine

Experiments for "Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and Signals"

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

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

A system for development of high-performance, data-intensive, distributed computing, applications, tools, and libraries.

Algorithms for implementation of Clock Synchronization, Consistency, Mutual Exclusion, Leader Election

Tutorials to help you build your first Swim app

Scheduler for sub-node tasks for HPC systems with batch scheduling

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

Distributed least squares approximation (dlsa) implemented with Apache Spark

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

ZeroMQ based distributed patterns

Federated Learning mini-framework with Keras

Standard federated learning implementations in FedLab and FL benchmarks.

DevOps code to deploy eScience services

A simplified library for decentralized, privacy preserving machine learning