distributed-machine-learning
There are 63 repositories under distributed-machine-learning topic.
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.
PaddlePaddle/PaddleDTX
Paddle with Decentralized Trust based on Xuperchain
monk1337/Aweome-Heathcare-Federated-Learning
A curated list of Federated Learning papers/articles and recent advancements.
GuanhuaWang/sensAI
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
cleanzr/dblink
Distributed Bayesian Entity Resolution in Apache Spark
orion-orion/FedAO
🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pytorch/Tensorflow, single-machine/distributed, synchronized/asynchronous.
pooyanjamshidi/mls
CSCE 585 - Machine Learning Systems
leondavi/NErlNet
Nerlnet is a framework for research and development of distributed machine learning models on IoT
makgyver/gossipy
Python module for simulating gossip learning.
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
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".
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
hwang595/ATOMO
Atomo: Communication-efficient Learning via Atomic Sparsification
soumyadipghosh/eventgrad
Event-Triggered Communication in Parallel Machine Learning
ishugaepov/MLBD
Materials for "Machine Learning on Big Data" course
beiyuouo/fedhf
🔨 A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.
Collaborative-AI/colda
Collaborative Data Analysis for All
INSPIRE-Lab-US/Byzantine-resilient-distributed-learning
Associated codebase for Byzantine-resilient distributed / decentralized machine learning papers from INSPIRE Lab
jtirana98/MultiHop-Federeated-Split-Learning
Framework that supports pipeline federated split learning with multiple hops.
Fangjin98/distributed-training-INA
A PS ML training architecture with p4 programmable switches.
ray-project/ray-acm-workshop-2023
Scalable/Distributed Computer Vision with Ray
zxsimple/dmls
Distributed Machine Learning Studio
benedekrozemberczki/AV_Ultimate_Student_Hunt
Solution for the Ultimate Student Hunt Challenge (1st place).
r-gg/flower-async
Implementation of asynchronous federated learning in flower.
snuspl/harmony
Harmony: A new scheduling framework that executes multiple Parameter-Server (PS) Machine Learning (ML) training jobs efficiently to improve cluster resource utilization.
benedekrozemberczki/NestedSubtreeHash
A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).
diaoenmao/GAL-Gradient-Assisted-Learning-for-Decentralized-Multi-Organization-Collaborations
[NeurIPS 2022] GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations
ray-project/anyscale-workshop-nyc-2023
Scalable NLP model fine-tuning and batch inference with Ray and Anyscale
ray-project/ray-saturday-dec-2022
Ray Saturday Dec 2022 edition
aliciatang07/Spark-Ring-AllReduce
Ring Allreduce implmentation in Spark with Barrier Scheduling experiment
borgwang/distributed-ml
Distributed Neural Networks Training