distributed-machine-learning 开源项目推荐（99 个）

terrytangyuan /distributed-ml-patterns

Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo

ray-project /ray-educational-materials

This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.

diaoenmao /HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients

[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

anupamkliv /FedERA

FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive support for heterogeneous edge devices and incorporating both standalone and distributed computing. It includes new software modules to enhance usability and promote environ- mental sustainability.

INET-RC /GeoMX

GeoMX: A fast and unified system for distributed machine learning over geo-distributed data centers.

monk1337 /Aweome-Heathcare-Federated-Learning

A curated list of Federated Learning papers/articles and recent advancements.

PaddlePaddle /PaddleDTX

Paddle with Decentralized Trust based on Xuperchain

orion-orion /FedAO

🔨 一个用于联邦学习的工具箱，旨在提供 FedAvg、FedProx、Ditto 等多种版本的实现，如 Pytorch/Tensorflow、单机/分布式、同步/异步。

GuanhuaWang /sensAI

sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data

cleanzr /dblink

Distributed Bayesian Entity Resolution in Apache Spark

leondavi /NErlNet

Nerlnet is a framework for research and development of distributed machine learning models on IoT

diaoenmao /SemiFL-Semi-Supervised-Federated-Learning-for-Unlabeled-Clients-with-Alternate-Training

[NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training

makgyver /gossipy

Python module for simulating gossip learning.

orion-orion /Distributed-ML-PySpark

🔨 使用Spark/Pytorch实现分布式算法，包括图/矩阵计算（graph/matrix computation）、随机算法、优化（optimization）和机器学习。参考刘铁岩《分布式机器学习》和CME 323课程

pooyanjamshidi /mls

CSCE 585 - Machine Learning Systems

xinyandai /gradient-quantization

vector quantization for stochastic gradient descent.

TinfoilHat0 /Defending-Against-Backdoors-with-Robust-Learning-Rate

The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".

soumyadipghosh /eventgrad

Event-Triggered Communication in Parallel Machine Learning

hwang595 /ATOMO

Atomo: Communication-efficient Learning via Atomic Sparsification

eclypse-org /flypse

FLYPSE: Federated learning emulation on the cloud-edge continuum, built on ECLYPSE.