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terrytangyuan / distributed-ml-patterns

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

python kubernetes devops distributed-systems data-science machine-learning book tensorflow cloud-computing argo cloud-native machine-learning-pipelines distributed-machine-learning kubeflow mlops large-scale-machine-learning argo-workflows manning-publications

Updated Jan 6, 2026
Python

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

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

deep-learning model-compression distributed-machine-learning federated-learning

Updated Feb 27, 2023
Python

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.

machine-learning distributed-machine-learning federated-learning

Updated Oct 6, 2023
Python

GuanhuaWang / sensAI

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

distributed-systems machine-learning deep-neural-networks deep-learning vgg imagenet resnet cifar10 sysml distributed-deep-learning cifar100 cifar-10 distributed-machine-learning cnn-classification cifar-100 mobilenet-v2 shufflenet-v2 mlsys imagenet1k

Updated Jul 25, 2024
Python

leondavi / NErlNet

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

python iot distributed-systems machine-learning erlang ai neural-network fault-tolerance ml cowboy federated distributed-machine-learning federated-learning artificial-intelligence-projects distributed-ml federated-learning-framework nerlnet

Updated Mar 2, 2026
Python

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

deep-learning semi-supervised-learning distributed-machine-learning federated-learning

Updated Jul 19, 2023
Python

makgyver / gossipy

Python module for simulating gossip learning.

deep-learning simulation pytorch gossip-protocol distributed-machine-learning federated-learning gossip-learning

Updated Jan 25, 2024
Python

orion-orion / Distributed-ML-PySpark

Shi Yong Spark/PytorchShi Xian Fen Bu Shi Suan Fa ,Bao Gua Tu /Ju Zhen Ji Suan (graph/matrix computation), Sui Ji Suan Fa , You Hua (optimization)He Ji Qi Xue Xi . Can Kao Liu Tie Yan <> He CME 323Ke Cheng

machine-learning spark distributed-computing distributed-machine-learning

Updated Jun 27, 2023
Python

xinyandai / gradient-quantization

vector quantization for stochastic gradient descent.

sgd distributed-machine-learning federated-learning gradient-quantization gradient-compression

Updated May 12, 2020
Python

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".

machine-learning deep-learning pytorch distributed-machine-learning adversarial-attacks federated-learning robust-machine-learning backdoor-attacks

Updated Oct 3, 2022
Python

hwang595 / ATOMO

Atomo: Communication-efficient Learning via Atomic Sparsification

compression distributed-machine-learning communication-efficient

Updated Dec 9, 2018
Python

yyyanbj / fedhf

A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.

python machine-learning distributed-machine-learning federated-learning federated-learning-framework fedhf

Updated Aug 19, 2022
Python

r-gg / flower-async

Implementation of asynchronous federated learning in flower.

online-learning distributed-machine-learning federated-learning flower-framework asynchronous-federated-learning

Updated Jul 27, 2024
Python

INSPIRE-Lab-US / Byzantine-resilient-distributed-learning

Associated codebase for Byzantine-resilient distributed / decentralized machine learning papers from INSPIRE Lab

machine-learning gradient-descent coordinate-descent distributed-machine-learning byzantine-failures

Updated Oct 11, 2021
Python

Fangjin98 / distributed-training-INA

A PS ML training architecture with p4 programmable switches.

pytorch distributed-machine-learning in-network-compute

Updated Nov 9, 2023
Python

benedekrozemberczki / NestedSubtreeHash

A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).

hashing data-science machine-learning data-mining word2vec deepwalk feature-extraction gensim representation-learning graph-mining large-scale-learning streaming-data graph-kernel node2vec distributed-machine-learning graph-classification streaming-processing multi-scale

Updated Aug 14, 2022
Python

diaoenmao / GAL-Gradient-Assisted-Learning-for-Decentralized-Multi-Organization-Collaborations

[NeurIPS 2022] GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations

deep-learning distributed-machine-learning assisted-learning

Updated Jul 1, 2023
Python

Samirnunes / chimera

Chimera is a Python package for distributed machine learning.

education distributed-systems machine-learning distributed-computing artificial-intelligence prototyping distributed-machine-learning

Updated Aug 23, 2025
Python

borgwang / distributed-ml

Distributed Neural Networks Training

distributed-computing distributed-machine-learning

Updated Nov 22, 2019
Python

diaoenmao / DRASIC-Distributed-Recurrent-Autoencoder-for-Scalable-Image-Compression

[DCC 2020] DRASIC: Distributed Recurrent Autoencoder for Scalable Image Compression

data-compression distributed-machine-learning

Updated Feb 27, 2023
Python

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