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#

distributed-machine-learning

Here are 76 public repositories matching this topic...

distributed-ml-patterns

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

  • UpdatedFeb 13, 2024
  • Jupyter Notebook

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

  • UpdatedFeb 27, 2023
  • Python

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.

  • UpdatedJul 14, 2025
  • Jupyter Notebook

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

  • UpdatedMar 5, 2024
  • C++

Paddle with Decentralized Trust based on Xuperchain

  • UpdatedAug 22, 2024
  • Go

🔨 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.

  • UpdatedOct 6, 2023
  • Python
sensAI

Distributed Bayesian Entity Resolution in Apache Spark

  • UpdatedJun 10, 2021
  • Scala
NErlNet

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

  • UpdatedJul 19, 2023
  • Python

Python module for simulating gossip learning.

  • UpdatedJan 25, 2024
  • Python
mls

CSCE 585 - Machine Learning Systems

  • UpdatedDec 9, 2024
  • TeX

🔨 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

  • UpdatedJun 27, 2023
  • Python

vector quantization for stochastic gradient descent.

  • UpdatedMay 12, 2020
  • Python

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

  • UpdatedOct 3, 2022
  • Python

Event-Triggered Communication in Parallel Machine Learning

  • UpdatedDec 8, 2021
  • C++

Atomo: Communication-efficient Learning via Atomic Sparsification

  • UpdatedDec 9, 2018
  • Python

🔨 A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.

  • UpdatedAug 19, 2022
  • Python

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