209 Open source projects that are alternatives of or similar to Federated-Learning-and-Split-Learning-with-raspberry-pi

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…

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).

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

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

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Distributed, workflow-driven integration environment

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A framework called "pinspider" on Apache mesos, to get basic user information from a pinterest page of a user.

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

Federated Learning on HyperLedger Aries

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

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

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

The core runtime engine for Ambianic Edge devices.

Yet another distributed compute framework

Orleans providers for Azure Cosmos DB

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MPI Parallel framework for training deep learning models built in Theano

Fleex makes it easy to create multiple VPS on cloud providers and use them to distribute workloads.

.NET Core framework for inter-service communication

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

julia package for running code on slurm clusters

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

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

An easy-to-use WebUI for crypto plotting and farming. Offers Plotman, MadMax, Chiadog, Bladebit, Farmr, and Forktools in a Docker container. Supports Chia, MMX, Chives, Flax, HDDCoin, and BPX among others.

Implementation of a LSTM with TensorFlow and distributed on Apache Spark

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

This repository contains the code base for the Open Stream Processing Benchmark.

Fast and easy parallel mapreduce on HPC clusters

PySpark Algorithms Book: https://www.amazon.com/dp/B07X4B2218/ref=sr_1_2

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

Big Data RDF Processing and Analytics Stack built on Apache Spark and Apache Jena http://sansa-stack.github.io/SANSA-Stack/

Decentralized Computing Backend for Artificial Intelligence, Web3, Metaverse, and Gaming Application

Task queue, Long lived workers for work based parallelization, with processes and Redis as back-end. For distributed computing.

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An analytical performance modeling tool for deep neural networks.

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

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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

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

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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)

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Censorship-resistant trustless protocols for smart contract, generic & high-load computing & machine learning on top of Bitcoin

An MPI-based C++ or Python library for easy distributed pipeline processing

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

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