303 Open source projects that are alternatives of or similar to Awesome-Federated-Machine-Learning

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…

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

Federated Principal Component Analysis Revisited!

The core runtime engine for Ambianic Edge devices.

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

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

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

Full stack service enabling decentralized machine learning on private data

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

Tools and service for differentially private processing of tabular and relational data

This is the ÆGIS federated application host. Federated components are independently deployable, written by multiple teams in multiple languages, and loaded from multiple repos and network locations at runtime, yet capable of running together in a single process or as distributed components in the ÆGIS application fabric.

Distributed least squares approximation (dlsa) implemented with Apache Spark

Standard federated learning implementations in FedLab and FL benchmarks.

Distributed process pool for Python

Framework of vectorized and distributed data analytics

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

Prime95 source code from GIMPS to find Mersenne Prime.

[JSS'19] A Blockchain-based Lightweight Framework for Edge and Fog Computing

Federated posterior averaging implemented in JAX

The free EAP version of the Cosmian Collaborative Confidential Computing platform. Try it!

ARCHIVE of monorepo implementing Boba, an L2 Compute solution built on Optimistic Ethereum - active repo is at https://github.com/bobanetwork/boba

DevOps code to deploy eScience services

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

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

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

A machine-learning-based tool for discovering differential privacy violations in black-box algorithms.

KAR: A Runtime for the Hybrid Cloud

End-to-End Compute, Storage and Networking Virtualisation.

A simplified library for decentralized, privacy preserving machine learning

Hashtopolis - A Hashcat wrapper for distributed hashcracking

A distributed compute and database platform for quantum chemistry.

FreeIOE is a framework for building IOE (Internet Of Everything) edge-computing gateway 开源的边缘计算网关框架. 讨论群: 291292378

Model-Contrastive Federated Learning (CVPR 2021)

A Portable C Library for Distributed CNN Inference on IoT Edge Clusters

Python for streams

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

A zenoh plug-in that allows to transparently route DDS data. This plugin can be used by DDS applications, such as ROS2 robotic applications and others, to leverage the zenoh for geographical routing or for better scaling discovery.

Bloomfilter written in Golang, includes rotation and RPC

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

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

A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.

A toolbox for differentially private data generation

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

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

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

Code for PerCom Workshop paper title 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'

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

ZeroMQ based distributed patterns

Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream.

Detect various irregularities of a product as it moves along a conveyor belt.

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

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

Julia Operators LIbrary

A distributed ledger for the p2p and decentralized IoT devices in JavaScript.

Python port of PeerJS client

Materials related to my talk "Pat Helland and Me"

FedGroup, A Clustered Federated Learning framework based on Tensorflow

Federated Learning mini-framework with Keras

How to run Keras model inference x3 times faster with CPU and Intel OpenVINO

This is home of Das Schiff - Deutsche Telekom Technik's engine for Kubernetes Cluster as a Service (CaaS) in on-premise environment on top of bare-metal servers and VMs.